Podcast appearances and mentions of Rosalind Picard

Dr Rosalind W Picard is an American scholar and inventor who is Professor of Media Arts and Sciences at MIT, founder and director of the Affective Computing Research Group at the MIT Media Lab, and co-founder of the startups Affectiva and Empatica. She has received many recognitions for her research and inventions.I wanted to speak to Dr Picard about her conversion from self-professed proud atheist to powerful Christian tech pioneer. Some highlights from this episode include Dr Picard's thoughts on an A.I Jesus, how complex computing taught Dr Picard about our journey to understand God, and what it takes for Dr Picard to teach a computer to recognise emotion.--You can find more of Dr Picard's work at the following links:- https://web.media.mit.edu/~picard/- https://x.com/RosalindPicardFollow For All The Saints on social media for updates and inspiring content:www.instagram.com/forallthesaintspodhttps://www.facebook.com/forallthesaintspod/For All The Saints episodes are released every Monday on YouTube, Spotify, Apple Podcasts and more:https://www.youtube.com/watch?v=TVDUQg_qZIU&list=UULFFf7vzrJ2LNWmp1Kl-c6K9Qhttps://open.spotify.com/show/3j64txm9qbGVVZOM48P4HS?si=bb31d048e05141f2https://podcasts.apple.com/gb/podcast/for-all-the-saints/id1703815271If you have feedback or any suggestions for topics or guests, connect with Ben & Sean via hello@forallthesaints.org or DM on InstagramConversations to Refresh Your Faith.For All The Saints podcast was established in 2023 by Ben Hancock to express his passion and desire for more dialogue around faith, religious belief, and believers' perspectives on the topics of our day. Tune into For All The Saints every Monday on YouTube, Spotify, Apple Podcasts, and more.Follow For All The Saints on social media for daily inspiration.

In this episode, Gabe interviews Dr. Rosalind Picard, a renowned scientist, inventor, engineer, and member of the faculty of MIT's Media Lab. Rosalind helps us define and understand affective computing and what role empathy, emotion, and human connection have in relation to A.I. and other technologies. They talk about the relational and ethical tensions in building technologies that people come to rely on. Rosalind also shares a powerful example of how wearable technologies can save lives.  Listen in as Gabe and Rosalind ask the tough questions around affective computing and discern whether or not we're becoming more or less human with the help of these technologies. Resources: Create a free THINQ Account to access more trusted content like this on topics from all channels of culture at thinqmedia.com. Rosalind's Ted Talk: An AI Smartwatch that Detects Seizures MIT's Media Lab Affective Computing Research Group MIT's MindHandHeart Initiative Center for Neurobiological Engineering

In association and partnership with the ACM Bytecast, this episode features a conversation with Affective Computing Pioneer Dr. Rosalind Picard. Dr. Picard is a scientist, inventor, and engineer, member of the faculty of MIT's Media Lab, founder and director of the Affective Computing research group at the MIT Media Lab, founding faculty chair of MIT's MindHandHeart Initiative, and a faculty member of the MIT Center for Neurobiological Engineering. She has co-founded two companies:  Affectiva (now part of Smart Eye), providing emotion AI technologies now used by more than 25% of the Global Fortune 500, and Empatica, providing wearable sensors and analytics to improve health. 

In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes ACM Fellow Rosalind Picard, a scientist, inventor, engineer, and faculty member of MIT's Media Lab, where she is also Founder and Director of the Affective Computing Research Group. She is the author of the book Affective Computing, and has founded several companies in the space of affective computing, including the startups Affectiva and Empatica, Inc. A named inventor on more than 100 patents, Rosalind is a member of the National Academy of Engineering and a Fellow of the National Academy of Inventors. Her contributions include wearable and non-contact sensors, algorithms, and systems for sensing, recognizing, and responding respectfully to human affective information. Her inventions have applications in autism, epilepsy, depression, PTSD, sleep, stress, dementia, autonomic nervous system disorders, human and machine learning, health behavior change, market research, customer service, and human-computer interaction, and are in use by thousands of research teams worldwide as well as in many products and services. In the episode, Rosalind talks about her work with the Affective Computing Research Group, and clarifies the meaning of “affective” in the context of her research. Scott and Rosalind discuss how her training as an electrical with a background in computer architecture and signal processing drew her to studying emotions and health indicators. They also talk about the importance of data accuracy, the implications of machine learning and language models to her field, and privacy and consent when it comes to reading into people's emotional states.

Today's podcast guest is Rosalind Picard, a researcher, inventor named on over 100 patents, entrepreneur, author, professor and engineer. When it comes to the science related to endowing computer software with emotional intelligence, she wrote the book. It's published by MIT Press and called Affective Computing.Dr. Picard is founder and director of the MIT Media Lab's Affective Computing Research Group. Her research and engineering contributions have been recognized internationally, for example she received  the 2022 International Lombardy Prize for Computer Science Research, considered by many to be the Nobel prize in computer science. Through her research and companies, Dr. Picard has developed wearable sensors, algorithms and systems for sensing, recognizing and responding to information about human emotion. Her products are focused on using fitness trackers to advance clinical quality treatments for a range of conditions.Meanwhile, in just the past few years, numerous fitness tracking companies have released products with their own stress sensors and systems. You may have heard about Fitbit's Stress Management Score, or Whoop's Stress Monitor – these features and apps measure things like your heart rhythm and a certain type of invisible sweat to identify stress. They're designed to raise your awareness about forms of stress like anxieties and anger, and suggest strategies like meditation to relax in real time when stress occurs.But how well do these off-the-shelf gadgets work? There's no one more knowledgeable and experienced than Rosalind Picard to explain the science behind these stress features, what they do exactly, how they might be able to help us, and their current shortcomings.Dr. Picard is a member of the National Academy of Engineering and a Fellow of the National Academy of Inventors, and a popular speaker who's given over a hundred invited keynote talks and a TED talk with over 2 million views. She holds a Bachelors in Electrical Engineering from Georgia Tech, and Masters and Doctorate degrees in Electrical Engineering and Computer Science from MIT. She lives in Newton, Massachusetts with her husband, where they've raised three sons.In our conversation, we discuss stress scores on fitness trackers to improve well-being. She carefully describes the difference between commercial products that might help people become more mindful of their health and products that are FDA approved and really capable of advancing the science. We also discuss several fascinating findings and concepts discovered in Dr. Picard's lab including the multiple arousal theory, a phenomenon you'll want to hear about. And we talk about the complexity of stress, one reason it's so tough to measure. For example, many forms of stress are actually good for us. Can fitness trackers tell the difference between stress that's healthy and unhealthy?Making Sense of Science features interviews with leading medical and scientific experts about the latest developments in health innovation and the big ethical and social questions they raise. The podcast is hosted by science journalist Matt Fuchs

When Rosalind Picard joined the MIT Media Lab faculty in 1991, she was given crucial advice—take risks. As a female engineer in a male-dominated field, Rosalind found the idea of venturing into the emotion-technology space | daunting, but she decided to take the risk anyways.  Since then, Rosalind has co-founded two companies and written a book about affective computing. Also known as artificial emotional intelligence, this multidisciplinary field provides technologies with the ability to understand and use emotion when interacting with humans.  In this episode, Rosalind discusses her ground-breaking work at the intersection of computation, emotion, and AI and her words of wisdom for the future risk-takers of tech.  Do you have any thoughts? Please email us at hello@rosenmaninstitute.org. We post new episodes every Monday. “The Health Technology Podcast” is produced by Herminio Neto, hosted by Christine Winoto, and engineered by Andrew John Rojek

In the final episode of our limited series on AI, we look at the big issues of accountability and responsibility. How should we allocate the responsibilities for managing this technology? Who will decide when AIs are doing more harm than good? Will we be looking to private companies or depending on public servants? And what will be left for individual citizens to decide? To help unlock solutions to the growing challenge of AI responsibility, host Raffi Krikorian speaks with Maria Ressa, Nobel Prize-winning journalist and co-founder of Rappler; scientist and inventor Rosalind Picard from MIT's Media Lab; James Manyika, Senior Vice President of Research, Technology, and Society at Google; Kyunghyun Cho, Professor of Computer Science and Data Science at New York University; Stanford Internet Observatory Research Manager Renee DiResta; and Professor and data journalist Meredith Broussard. Together, they discuss different approaches to AI responsibility, and look at what the future could hold for ethical accountability. To learn more about Technically Optimistic and to read the transcript for this episode: emersoncollective.com/technically-optimistic-podcast For more on Emerson Collective: emersoncollective.com Learn more about our host, Raffi Krikorian: emersoncollective.com/persons/raffi-krikorian Technically Optimistic is produced by Emerson Collective with music by Mattie Safer. Email us with questions and feedback at technicallyoptimistic@emersoncollective.com. Subscribe to Emerson Collective's newsletter: emersoncollective.com To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

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Today's episode features a Q&A with our own Graham Page. Graham leads the Media Analytics business Unit as Global Managing Director of Media Analytics at Affectiva, a Smart Eye company. He pioneered the integration of biometric and behavioral measures to mainstream brand and advertising research for 26 years as Executive VP and Head of Global Research Solutions at Kantar.Over the course of the last year or so, there has been a thread of debate in the media regarding the validity and ethics of facial emotion recognition.  This has often reflected the point of view of some data privacy groups who are concerned about the use of facial technologies across several use cases, or the opinions of commercial interests who offer alternative biometric technologies, or traditional research methodologies.Scrutiny of emerging technologies is vital, and the concerns raised are important points for debate.  Affectiva has led the development of the Emotion AI field for over a decade, and the use of automated facial expression analysis in particular. Listen in to learn more.Links of interest: [Podcast Episode] Lisa Feldman Barrett on Challenges in Inferring Emotion from Human Facial Movement: https://podcasts.apple.com/us/podcast/lisa-feldman-barrett-on-challenges-in-inferring-emotion/id1458361251?i=1000446966899 [Blog] Face Value: The Power of Facial Signals in Human Behavioral Research: https://blog.affectiva.com/face-value-the-power-of-facial-signals-in-researchAdditional Sources Referenced: [1] Barrett, Lisa Feldman, et al. "Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements." Psychological science in the public interest 20.1 (2019): 1-68.[2] Ekman, Paul, and Wallace V. Friesen. "Facial action coding system." Environmental Psychology & Nonverbal Behavior (1978).[3] Rosenberg, Erika L., and Paul Ekman, eds. What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (FACS). Oxford University Press, 2020.[4] Martinez, Brais, et al. "Automatic analysis of facial actions: A survey." IEEE transactions on affective computing 10.3 (2017): 325-347.[5] McDuff, Daniel, et al. "AFFDEX SDK: a cross-platform real-time multi-face expression recognition toolkit." Proceedings of the 2016 CHI conference extended abstracts on human factors in computing systems. 2016.[6] Bishay, Mina, et al. "AFFDEX 2.0: A Real-Time Facial Expression Analysis Toolkit." arXiv preprint arXiv:2202.12059 (2022). Accepted at the FG2023 conference. [7] McDuff, Daniel, et al. "Predicting ad liking and purchase intent: Large-scale analysis of facial responses to ads." IEEE Transactions on Affective Computing 6.3 (2014): 223-235.[8] Koldra, Evan, et al. Do emotions in advertising drive sales? https://ana.esomar.org/documents/do-emotions-in-advertising-drive-sales--8059. [9] McDuff, Daniel, and Rana El Kaliouby. "Applications of automated facial coding in media measurement." IEEE transactions on affective computing 8.2 (2016): 148-160.[10] Teixeira, Thales, Rosalind Picard, and Rana El Kaliouby. "Why, when, and how much to entertain consumers in advertisements? A web-based facial tracking field study." Marketing Science 33.6 (2014): 809-827.[11] McDuff, Daniel, et al. "Automatic measurement of ad preferences from facial responses gathered

This week I'm honored to be joined by MIT Professor, Rosalind Picard, who not only founded the field of affective computing, but is easily considered one of the most impactful inventors alive. In this episode, we explore affective computing and its many impacts on society. This takes on a tour through concepts as wide-ranging as manipulating emotions, treating health challenges, surveillance, social robots, and more. You can follow Rosalind at twitter.com/rosalindpicard, or check out one of her very successful affective tech companies: @Empatica or @Affectiva ** Learn more about Singularity: su.org Host: Steven Parton - LinkedIn / Twitter Music by: Amine el Filali

Lexman hosts a interview with Rosalind Picard, author of the new book, "Rabblement: A True Story of One Man's Extraordinary Quest to Save His Village from Obstruction and Drowning." In the book, Picard tells the story of her journey to find a solution to the unique problem of a Rabblement - a French town that had been swallowed by the river.

Literary agent Rosalind Picard discusses the anatomy of an anathema, how to write for the punter, and offers some thoughts on the current state of the literary world.

Rosalind Picard, author of the upcoming book "Plexus: The Untold Story of the Brain's Other circuitry" joins Lexman to discuss her upbringing and her book, which tells the story of the brain's other circuitry.

This week, Payton continues our series on Testimony by looking to the life of Rosalind Picard. She was an MIT professor who thought she was too intelligent for religion. What changed?

This week, Payton continues our series on Testimony by looking to the life of Rosalind Picard. She was an MIT professor who thought she was too intelligent for religion. What changed?

Jonathan Bastian talks with cultural psychologist Batja Gomes de Mesquita, author of “Between Us: How Culture Creates Emotions” who makes the case that emotions are not innate but are rather shaped but our surroundings and cultures, made as we live our lives together. Later, Rosalind Picard, founder and director of the Affective Computing research group at the MIT Media Lab, explains how advances in AI can help computers analyze our emotions with the ultimate goal of making human lives better. Delve deeper into life, philosophy, and what makes us human by joining the Life Examined discussion group on Facebook.

In this thrilling episode, Lexman welcomes Dr. Rosalind Picard to discuss badges and pterosaurs! Rosalind shares some insights on these fascinating creatures, and the two discuss the way they can be used as a form of palliation. Be sure to tune in for an exciting discussion!

Recently, a strange alien artifact called the Pennoncelles landed on Earth. The object has the power to hypnotize people, and it's up to the Lexman AI to stop its misuse. But when dangers start cropping up at the cathouses run by Rosalind Picard, Lexman realises that the Pennoncelles may be more dangerous than he thought...

Lexman interviews Rosalind Picard, a gemologist and owner of Sapphire Stones, about the effects of natural stone varieties on transportation.

Quiet and somber, Rosalind Picard has a gift for words. She weaves deft tales of suspense and horror, layered with a knowledge of science that boggles the mind. In this episode, she takes on the topic of incrassations- creatures which are so variationated that they barely qualify as creatures at all. With features that blur the line between fish and insects, these enigmatic beings haunt our nightmares in gripping detail.

Rosalind Picard comes on the show to discuss her outlandish parentages and her love of roll-ons. Lexman and Rosalind discuss everything from potatoes to pirates, and it is sure to be a hilarious and interesting episode.

Neurobiology and the SoulWhat is the connection between our mind and our soul? New discoveries in neuroscience reveal that love can literally change our minds — that our relationships and interactions with others help shape our brains – which in turn, shape our relationships and behaviors. The link between our habits and spiritual practices and the renewing of our mind may be far more direct than once supposed.Friendship Shapes our SoulOn Friday, June 24th we hosted an Online Conversation with psychiatrist Curt Thompson and The King's University philosophy professor Jeffrey Dudiak to discuss the convergence of what brain research and spiritual practices reveal about the formation and development of our mind, heart, and soul. These longtime friends shared how their relationship has been used by God to repair and shape their lives in fascinating and unexpected ways.This Conversation is part of our Discovery and Doxology series in partnership with BioLogos and Church of the Advent bringing together leading scientists, theologians, and scholars to discuss the relationship between science and faith.Learn more about Curt Thompson and Jeff Dudiak. Authors and books mentioned in the conversation:The Chronicles of Narnia, by C.S. Lewis John WoodMakoto FujimuraJohann Wolfgang von Goethe Related Trinity Forum Readings:Brave New World, Aldous HuxleyGod's Grandeur: The Poems of Gerard Manley HopkinsBabbet's Feast, by Isak Dinesen Related Conversations:Faith in an Empirical World: an Online Conversation with Ard Louis and Tremper LongmanSuffering, Healing, and Meaning, with Philip Yancey and Julia WattacherilUnderstanding Transhumanism with Rosalind Picard and Richard Mouw To listen to this or any of our episodes in full, visit ttf.org/podcast and to join the Trinity Forum Society and help make content like this possible, visit ttf.org/join. Special thanks to Ned Bustard for the artwork and Andrew Peterson for the music.

Rosalind Picard from the University of British Columbia speaks about her work on vernicle, interlinguas and palmettos. Lexman and Rosalind discuss the language acquisition process, how vernicles help children learn new vocabulary, and the importance of play in language learning.

Science, Faith, and the Pursuit of TruthWhat does it mean to pursue truth — and how do we know what we know? Science and religion have often been assumed to offer either contradictory or unrelated forms of knowledge, with any intersection between them presumed to be a conflict.Such assumptions have grown more contentious in recent years in a world awash in misinformation and epistemic battles. How do science and faith relate in pursuing truth? What might each have to say to the other? And how might such a conversation enhance our understanding of knowledge itself? On Friday, March 25 2022, The Trinity Forum hosted a conversation with Elaine Howard Ecklund and Ted Davis to show how science and Christianity intersect in constructive, even beautiful ways. This conversation is a part of our Discovery and Doxology series, and hosted in partnership with Biologos and Church of the Advent and made possible through the support of Templeton Religion Trust. This series brings together leading scientists, philosophers, and theologians to discuss the relationship between science and faith. Learn more about Elaine Howard Ecklund and Ted Davis. Authors and books mentioned in the conversation:Christian View of Science and Scripture, Bernard RammRichard DawkinsPhilo JudaeusJohn PhiloponusAugustine of HippoGalileo GalileiPtolemyGalenEuclidSam HarrisA Brief Retrospect of the Eighteenth Century, Samuel MillerKen HamFrancis CollinsAlbert EinsteinPeter MedewarThomas Henry Huxley Related Trinity Forum Readings:Brave New World, Aldous HuxleyGod's Grandeur: The Poems of Gerard Manley Hopkins Related Conversations:Faith in an Empirical World: an Online Conversation with Ard Louis and Tremper LongmanNeurobiology and the Soul with Curt Thompson and Jeffrey DudiakSuffering, Healing, and Meaning, with Philip Yancey and Julia WattacherilUnderstanding Transhumanism with Rosalind Picard and Richard Mouw To listen to this or any of our episodes in full, visit ttf.org/podcast and to join the Trinity Forum Society and help make content like this possible, visit ttf.org/join. Special thanks to Ned Bustard for the artwork and Andrew Peterson for the music.

Jeden z pracowników Google został odsunięty od pracy po deklaracji, że jego program czuje, myśli i powinien być traktowany jak osoba. Kogo uratuje Sztuczna Inteligencja, gdy przyjdzie jej wybierać pomiędzy wybitnym naukowcem i grupą kilku dzieci? Czym jest i czym się różni od zwykłego algorytmu? Między innymi na te pytania szukamy odpowiedzi razem z dr Mirkiem Sopkiem, który jest fundatorem i wiceprezesem Makolab SA i przewodniczącym Rady Politechniki Łódzkiej. Obecnie zaangażowany w Quantum blockchains. Poprzednim tematem naszej rozmowy w 141 odcinku był Bitcoin. Zapraszam do wysłuchania 156 odcinka podkastu pod tytułem "Sztuczna inteligencja" Borys Kozielski Lista rozdziałów: (0:09) Zapowiedź wstępna (0:50) #141 - Bitcoin (1:15 ) Początek rozmowy (4:19) Spadki na rynku kryptowalut (9:56) Sztuczna inteligencja (AI) (10:07) #121 - Maszynowe uczenie (10:36) Jak jest różnica pomiędzy algorytmem a sztuczną inteligencją (11:58) Maszyna Turinga (16:45) AI podczas wojny (18:36) Proces przeciw AI (22:04) Sieci neuronowe (31:52) Augmented inteligence (36:31) Markus Gabriel - I'm not a brain (39:32) AI nie istnieje (43:42) GPT-3 (45:30) Lex Friedman podcast (46:38) Affective computing (47:12) Rosalind Picard (48:37) #168 odcinek podkastu Lubię wiedzieć (49:01) Patroni (50:09) Miłka Malzahn - Sztuczna inteligencja (:57:30) Zapowiedź końcowa (59:27) Newsletter (1:00:03) Galeria zdjęć Potrzebuję Twojego wsparcia Jeśli słuchasz podkastu Nauka XXI wieku to przekaż darowiznę już od 3 zł miesięcznie na jego tworzenie. Podkast nie zawiera reklam i nie tworzę odcinków za wynagrodzenie od firm. Dzięki temu mogę swobodnie prezentować poglądy swoje i moich rozmówców a także realizować misję dostarczania wiedzy tym, którzy chcą wiedzieć więcej. Darowiznę można przekazać poprzez: Patronite: https://patronite.pl/boryskozielski PayPal: https://www.paypal.com/donate/?hosted_button_id=2L5Z9XBAL3X46 I bezpośrednio na moje osobiste konto w Mbank: 37 1140 2004 0000 3702 4218 5268 Wszystkie sposoby znajdziesz na stronie głównej podkastu: https://podkasty.info/nauka Odcinek dostępny jest na licencji Creative Commons, Uznanie autorstwa a jego opis na licencji CC0

Lexman interviews Rosalind Picard, a historian who specializes in winos and Hildesheim. They discuss the history and key aspects of wino culture. It's revealed that Rosalind is a very integral person and loves salubriousness in all things.

Understanding TranshumanismRapid developments in artificial intelligence and other emerging technologies can add confusion to the existential questions of who we are and why we are here. Through this conversation, Mouw and Picard explore the potential benefits and cautions of these technologies and thoughtfully examine the philosophical foundation of transhumanism. This conversation is a part of our Discovery and Doxology series, and hosted in partnership with Biologos and Church of the Advent and made possible through the support of Templeton Religion Trust. This series brings together leading scientists, philosophers, and theologians to discuss the relationship between science and faith. Learn more about Rosalind Picard and Richard Mouw. Authors and books mentioned in the conversation:Raymond KurzweilBrave New World, by Alduous HuxleyUncommon Decency: Christian Civility and Uncivil World, Pluralisms and Horizons, He Shines in All That's Fair, Praying at Burger King, Calvinism in the Las Vegas Airport: Making Connections in Today's World, all by Richard MouwBF SkinnerThe Concept of Mind, by Gilbert RyleHubert DreyfusFriedrich NietzscheHe JiankuiNeil PostmanJohn McCarthy Related Trinity Forum Readings:Brave New World, Aldous HuxleyGod's Grandeur: The Poems of Gerard Manley Hopkins Related Conversations:Faith in an Empirical World: an Online Conversation with Ard Louis and Tremper LongmanScience, Faith, & the Pursuit of Truth with Elaine Howard Ecklund and Ted DavisNeurobiology and the Soul with Curt Thompson and Jeffrey Dudiak To listen to this or any of our episodes in full, visit ttf.org/podcast and to join the Trinity Forum Society and help make content like this possible, visit ttf.org/join. Special thanks to Ned Bustard for the artwork and Andrew Peterson for the music.

This program was recorded at a Veritas Forum event on Northwestern University in 2022. The original title was "AI, Religion, & Humanity: How Might (or Should?) We Shape the Future?" and featured Rosalind Picard, Director of Affective Computing Research, Sylvester Johnson, Professor and Director of the Center for Humanities, and Robert Geraci, Professor. If you enjoyed this episode, please rate, review, and subscribe. And, if you're interested in more content from Veritas, check out our Beyond the Forum podcast. Visit veritas.org to learn more about the mission of the Veritas Forum and find more resources to explore the ideas that shape our lives.

As our team works on Season Three, here's some of the original content that inspired our second season on Science and God. This Veritas Forum with Rosalind Picard — the guest for our episode “Is AI Intelligent?” — was hosted by students at Brown in November 2017 under the title: “What does it mean to be human?” Like what you heard? Rate and review us on Apple Podcasts to help more people discover our episodes. And, get updates on more ideas that shape our lives by signing up for our email newsletter here. Thanks for listening!

As our team works on Season Three, here's some of the original content that inspired our second season on Science and God. This Veritas Forum with Rosalind Picard — the guest for our episode “Is AI Intelligent?” — was hosted by students at Brown in November 2017 under the title: “What does it mean to be human?” Like what you heard? Rate and review us on Apple Podcasts to help more people discover our episodes. And, get updates on more ideas that shape our lives by signing up for our email newsletter at veritas.org. Thanks for listening!

Roz Picard has become an international leader in research after founding the new research brand of Affective Computing, which investigates the link between emotions and artificial intelligence. However, her path to the top has being far from linear, with many obstacles and failures on her way. During this talk, Roz shares three segments of her life and three big failures, which, nevertheless, have been only “mid points” and not destinations.Rosalind Picard is professor at MIT and faculty member since 1991. Her revolutionary research focused on the utility of emotions in artificial intelligence pioneered a new research field, called Affective Computing, and granted her several international awards and recognitions. Roz is also co-founder of Affectiva, providing emotion AI technology, and Empatica, creating sensors to improve health.This Episode was recorded at a FAIL! event organized at the Massachusetts Institute of Technology in November 2021 by the VISTA association.Watch this and more episodes on Youtube, follow FAIL! - Inspiring Resilience on social media (Facebook - Instagram - LinkedIn), and visit our website: www.fail-sharing.orgMusic Theme: "Driven To Success" by Scott HolmesFree Music Archive - CC BY NC

Z projektantką Justyną Puchalską rozmawiam o szóstym zmyśle w tworzeniu przestrzeni. Wspólnie zastanawiamy się nad tym, w jakim stopniu sztuczna inteligencja zastąpi architektów, czy będzie wyposażona w empatię, i czy jej rozumienie ludzkich potrzeb odkryje przed nami nowe jakości. Rozważamy także możliwość współistnienia z „czującymi” przestrzeniami i tego, że AI będzie rzeczywiście działać w naszym interesie. Menu wiedzy od Justyny: wychodząc z filozofii architektury: The Architecture of Happiness by Alain De Botton The Poetics of Space by Gaston Bachelard Healing Spaces: The Science of Place and Well-being następnie neuroscience and wellbeing: Healing Spaces: Designing Physical Environments to Optimize Health, Wellbeing and Performance by Altaf Engineer Esther M Sternberg Aletheia Ida Mind in Architecture: Neuroscience, Embodiment, and the Future of Design (MIT Press, 2015) S. Robinson, J. Pallasmaa Welcome to your world. How the built environment shapes our lives by Sarah Williams Goldhagen przekrojowy przegląd AI pod kątem filozofii, technologii, świadomości: Polecam darmowy kurs na basic wiedzę: https://www.elementsofai.com/ Przekrojowy przegląd AI pod kątem filozofii, technologii, świadomości: https://lexfridman.com/podcast/ w szczególności odcinek o Affective Computing Przekrój projektów związanych z Emotional Intelligence: https://www.media.mit.edu/groups/affective-computing/overview/ i When AI Recognizes Emotion, with Rosalind Picard by News Items Podcast, August 24, 2021

This program was recorded at a Veritas Forum event on Brown in 2017. The original title was "What does it mean to be human?" and featured Rosalind Picard and Michael Littman. If you enjoyed this episode, please rate, review, and subscribe. And, if you're interested in more content from Veritas, check out our Beyond the Forum podcast. Visit veritas.org to learn more about the mission of the Veritas Forum and find more resources to explore the ideas that shape our lives.

Should we be worried about robots taking over the world? Dr. Rosalind Picard, an A.I. researcher at MIT, says no. But, there are real things to consider about our relationship with technology. We talk with Dr. Picard about the past, present, and future of machine learning and artificial intelligence and hear how her current work is literally saving lives. Like what you heard? Rate and review us on Apple Podcasts to help more people discover our episodes. And, get updates on more ideas that shape our lives by signing up for our email newsletter here. Thanks for listening!

Should we be worried about robots taking over the world? Dr. Rosalind Picard, an A.I. researcher at MIT, says no. But, there are real things to consider about our relationship with technology. We talk with Dr. Picard about the past, present, and future of machine learning and artificial intelligence and hear how her current work is literally saving lives. Like what you heard? Rate and review us on Apple Podcasts to help more people discover our episodes. And, get updates on more ideas that shape our lives by signing up for our email newsletter at veritas.org. Thanks for listening!

PART OF A SPECIAL 6-WEEK SERIES | Should we be worried about robots taking over the world? Dr. Rosalind Picard, an A.I. researcher at MIT, says no. But, there are real things to consider about our relationship with technology. We talk with Dr. Picard about the past, present, and future of machine learning and artificial intelligence and hear how her current work is literally saving lives. Like what you heard? Rate and review Beyond the Forum on Apple Podcasts to help more people discover our episodes. And, get updates on more ideas that shape our lives by signing up for our email newsletter at veritas.org. Thanks for listening!

The first episode of season two comes out Thursday, December 9th. Join us for our second season on Science and God with our six guests: mathematician Dr. Francis Su, A.I. researcher Dr. Rosalind Picard, MIT engineering professor Dr. Cullen Buie, historian Dr. Ted Davis, genomics research Dr. Praveen Sethupathy, and Oxford professor and author Dr. John Lennox. Be sure to subscribe, rate, and review our podcast on Apple Podcasts. Plus, check out veritas.org to learn more about The Veritas Forum. Thank you!

The first episode of season two comes out Thursday, December 9th. Join us for our second season on Science and God with our six guests: mathematician Dr. Francis Su, A.I. researcher Dr. Rosalind Picard, MIT engineering professor Dr. Cullen Buie, historian Dr. Ted Davis, genomics research Dr. Praveen Sethupathy, and Oxford professor and author Dr. John Lennox. Be sure to subscribe, rate, and review our podcast on Apple Podcasts. Plus, check out veritas.org to learn more about The Veritas Forum. Thank you!

We are so excited for our second season! Our first episode drops on Thursday, December 2nd. This season, we'll be hearing from six speakers on the relationship between science and religion. Our guests: mathematician Dr. Francis Su, A.I. researcher Dr. Rosalind Picard, MIT engineering professor Dr. Cullen Buie, historian Dr. Ted Davis, genomics research Dr. Praveen Sethupathy, and Oxford professor and author Dr. John Lennox. While you're waiting for season two, be sure to subscribe, rate, and review our podcast on Apple Podcasts. Plus, check out veritas.org to learn more about The Veritas Forum. Thank you!

We are so excited for our second season! Our first episode drops on Thursday, December 2nd. This season, we'll be hearing from six speakers on the relationship between science and religion. Our guests: mathematician Dr. Francis Su, A.I. researcher Dr. Rosalind Picard, MIT engineering professor Dr. Cullen Buie, historian Dr. Ted Davis, genomics research Dr. Praveen Sethupathy, and Oxford professor and author Dr. John Lennox. While you're waiting for season two, be sure to subscribe, rate, and review our podcast on Apple Podcasts. Plus, check out veritas.org to learn more about The Veritas Forum. Thank you!

John interviews A.I. scientist Rosalind Picard. Rosalind is a pioneer in the field of affective computing, the co-founder of two companies at the forefront of A.I., Affectica and Empatica, and the founder and director of the affective computing research group at the MIT Media Lab. Affective computing aims to close the emotional gap between computers and their users. As Rosalind wrote in her book “Affective Computing,” published in 1997, “if we want computers to be genuinely intelligent, to adapt to us, and to interact naturally with us, then they will need the ability to recognize and express emotions.” John and Rosalind talk about the limits and applications of affective computing, and how wearable technology could change health care as we know it. See acast.com/privacy for privacy and opt-out information.

Maybe you've noticed that we humans are the only creatures making podcasts. That's at least partially because we're the only creatures that have developed the tools to make it happen—microphones and compressors, computers and word processors. But technology encompasses a lot more than just machines with microchips. In this episode we explore our use of technology starting with the simplest tools up to the recent advances in artificial intelligence to see what role it has had in our development and in our identity as a member of the human species.  In this new Language of God mini series—Uniquely Unique—Jim is joined by our producer Colin for a deep dive into these questions and more. The quest? To try to come to a better understanding of what it means to be human, to bear the image of God. Along the way, you'll hear from a variety of experts from a wide range of disciplines, drawing on biology, history, anthropology, philosophy, theology and more to try to make sense of our human identity. The quote from Rosalind Picard was from episode 65: Rosalind Picard | Flourishing in the Age of Computers The quote from Amy Crouch was from episode 70: Amy & Andy Crouch | Finding the Off Switch Check our new animated video series including a video exploring what it means to be human.  Join a conversation about this episode on the BioLogos Forum.  

How can we leverage AI to help with wellbeing while improving productivity in the workplace and beyond? Rosalind Picard, founder of the Affective Computing Research Group at MIT and cofounder of Affectiva, Inc. and Empatica, Inc. discusses how AI can help humans develop mental and physical resilience. Rosalind discusses the need to tie purpose and impact to AI technology beyond value creation while understanding that we cannot replace people with AI.

MIT professor Rosalind Picard shares the lifesaving potential of smartwatch technology in detecting epileptic seizures. This talk was filmed at TEDxBeaconStreet. All TEDx events are organized independently by volunteers in the spirit of TED's mission of ideas worth spreading. To learn more about TEDxSHORTS, the TEDx program, or give feedback on this episode, please visit http://go.ted.com/tedxshorts. Follow TEDx on Twitter: https://twitter.com/TEDx Follow TEDx on Instagram: https://www.instagram.com/tedx_official Like TEDx on Facebook: https://www.facebook.com/TEDxEvents

Scientist Rosalind Picard speaks to Ruth Jackson about her faith journey from atheism, how she has used Artificial Intelligence (AI) to create life-saving technology and where she sees the future of AI. She also shares her thoughts about working in science as both a Christian and female, as well as how we can help people to meet God in the midst of suffering. Watch Professor Rosalind Picard discuss Artificial Intelligence and whether new technology removes the need for God with Professor Nick Bostrom on the Big Conversation https://www.thebigconversation.show/aiandtechnology The Profile is brought to you in association with Premier Christianity magazine.  Subscribe now for £4.95/month

Computers can interpret the text we type, and they’re getting better at understanding the words we speak. But they’re only starting to understanding the emotions we feel—whether that means anger, amusement, boredom, distraction, or anything else. This week Harry talks with Rana El Kaliouby, the CEO of a Boston-based company called Affectiva that’s working to close that gap.El Kaliouby and her former MIT colleague Rosalind Picard are the inventors of the field of emotion AI, also called affective computing. The main product at Affectiva, which Picard and El Kaliouby co-founded in 2009, is a media analytics system that uses computer vision and machine learning to help market researchers understand what kinds of emotions people feel when they view ads or entertainment content. But the company is also active in other areas such as safety technology for automobiles that can monitor a driver’s behavior and alert them if they seem distracted or drowsy. Ultimately, Kaliouby predicts, emotion AI will become an everyday part of human-machine interfaces. She says we’ll interact with our devices the same way we interact with each other — not just through words, but through our facial expressions and body language. And that could include all the devices that help track our physical health and mental health.Rana El Kaliouby grew up in Egypt and Kuwait. She earned a BS and MS in computer science from the American University in Cairo and a PhD in computer science from the University of Cambridge in 2005, and was a postdoc at MIT from 2006 to 2010. In April 2020 she published Girl Decoded, a memoir about her mission to “humanize technology before it dehumanizes us.” She’s been recognized by the Fortune 40 Under 40 list, the Forbes America’s Top 50 Women in Tech list, and the Technology Review TR35 list, and she is a World Economic Forum Young Global Leader. Please rate and review MoneyBall Medicine on Apple Podcasts! Here's how to do that from an iPhone, iPad, or iPod touch:• Launch the “Podcasts” app on your device. If you can’t find this app, swipe all the way to the left on your home screen until you’re on the Search page. Tap the search field at the top and type in “Podcasts.” Apple’s Podcasts app should show up in the search results.• Tap the Podcasts app icon, and after it opens, tap the Search field at the top, or the little magnifying glass icon in the lower right corner.• Type MoneyBall Medicine into the search field and press the Search button.• In the search results, click on the MoneyBall Medicine logo.• On the next page, scroll down until you see the Ratings & Reviews section. Below that, you’ll see five purple stars.• Tap the stars to rate the show.• Scroll down a little farther. You’ll see a purple link saying “Write a Review.”• On the next screen, you’ll see the stars again. You can tap them to leave a rating if you haven’t already.• In the Title field, type a summary for your review.• In the Review field, type your review.• When you’re finished, click Send.• That’s it, you’re done. Thanks!TRANSCRIPTHarry Glorikian: I’m Harry Glorikian, and this is MoneyBall Medicine, the interview podcast where we meet researchers, entrepreneurs, and physicians who are using the power of data to improve patient health and make healthcare delivery more efficient. You can think of each episode as a new chapter in the never-ending audio version of my 2017 book, “MoneyBall Medicine: Thriving in the New Data-Driven Healthcare Market.” If you like the show, please do us a favor and leave a rating and review at Apple Podcasts.Many of us know that computers can interpret the text we type. And they’re getting better at understanding the words we speak. But they’re only starting to understanding the emotions we feel, whether that means anger, amusement, boredom, distraction, or anything else.My next guest, Rana El Kaliouby, is the co-founder and CEO of Affectiva, a company in Boston that’s working to close that gap. Rana and her former MIT colleague Rosalind Picard are the inventors of the field of emotion AI, also called affective computing. And they started Affectiva twelve years ago with the goal of giving machines a little bit of EQ, or emotional intelligence, to go along with their IQ.Affectiva’s main product is a media analytics system that uses computer vision and machine learning to help market researchers understand what kinds of emotions people feel when they view ads or entertainment content. But they’re also getting into other areas such as new safety technology for automobiles that can monitor the driver’s behavior and alert them if they seem distracted or drowsy. Ultimately Kaliouby predicts emotion AI will become an everyday part of human-machine interfaces. She says we’ll interact with our devices the same way we interact with each other — not just through words but through our facial expressions and body language. And that could include all the devices that help track our physical health and mental health. Rana and I had a really fun conversation, and I want to play it for you right now.Harry Glorikian: Rana, welcome to the show. Rana Kaliouby: Thank you for having me. Harry Glorikian: It's great to see you. We were just talking before we got on here. I haven't seen you since last February.Rana Kaliouby: I know, it's been a year. Isn't that crazy? Harry Glorikian: I'm sure if your system was looking at me, they'd be like, Oh my God, this guy has completely screwed up. Like something is completely off. Rana Kaliouby: He's ready to leave the house. Harry Glorikian: It was funny. I was telling my wife, I'm like, I really need to go get vaccinated. I'm starting to reach my limit on, on what, I, this is not normal anymore. Not that it's been normal, but you, you know how it is. So Rana Kaliouby: We're closer. There's hope.Harry Glorikian: So listen, listeners here, because we're going to be talking about this interesting concept or product that you have, or set of products. Emotion AI, or, how do you explain emotion, or a machine being able to interpret emotion from an individual, through, computer vision, machine learning. And, how does it understand what I'm feeling? I'm sure it can tell when I'm pissed. Everybody can tell what I'm, but in general, like how does it do what it does and what is the field? Because I believe you and your co-founder were like, literally you started this area. If I'm not mistaken. Rana Kaliouby: That is correct. So at a very high level, the thesis is that if you look at human intelligence, your IQ is important, but your EQ, your emotional intelligence is perhaps more important. And we characterize that as the ability to understand your own emotions and the emotions and mental states of others. And as it turns out, only 10% of how we communicate is in the actual choice of words we use, 90% is nonverbal, and I'm a very expressive human being, as you can see.So a lot of facial expressions, hand gestures, vocal, intonations, but technology today has a lot of IQ, arguably. But very little EQ. And so we're on this mission to bring IQ and EQ together and into our technologies and our devices and our, how we communicate digitally with one another. So that's been my mission over the last 20 plus years. Now I'm trying to bring artificial emotional intelligence to our machines. Harry Glorikian: God, that's perseverance. I have to admit, I don't know if I have any, other than being married, and be a father. I don't think I've done anything straight for 20 years. I'm always doing something different.So how does the system say, some of the functions of what it does to be able to do this, right, other than me frowning and having I guess the most obvious expressions, it probably can pull out, but there's a, a thousand subtleties in between there that I'm, I'm curious how it does it. Rana Kaliouby: Yeah. So the short answer is we use, as you said, a combination of computer vision, machine learning, deep learning and gobs and gobs of data. So the simplest way, I guess, to explain it is say we wanted to train the machine to recognize a smile or maybe a little bit more of a complex state, like fatigue, right?You're driving the car. We want to recognize how tired you are. Well, we need examples. From all over the world, all sorts of people, gender, age, ethnicity, maybe people who wear glasses or have facial beards. Wearing, a cap, like the more diverse, the examples, the stronger the system's going to be, the smarter the system's going to be.But essentially we gather all that data. We feed it into the deep learning algorithm. It learns. So that the next time it sees a person for the first time, it says, Oh, Harry, it looks real, Harry, it looks really tired or and so that's, that's how we do that. When we started the system was only able to recognize three expressions.Now, the system has a repertoire of over 30 of these and we're continuously adding more and more, the more data we get. Harry Glorikian: Interesting. So, okay. So now I can recognize 30 different levels of emotion of some sort. What are the main business applications or what are the main application areas? Rana Kaliouby: I always say what's most exciting about this is also what's most challenging about this journey is that there are so many applications. Affectiva, my company, which we spun out of MIT, is focused on a number of them. So the first is the insights and market research kind of market, where we are able to capture in real time people's responses to content. you're watching a Netflix show. Were you engaged or not like moment by moment.When did you perk up? When were you confused? When were you interested or maybe bored to death? Right. So that's one use case. And then, so there we partner with 30% of the Fortune 500 companies in 90 countries around the world. This product has been in market now for over eight years and we're growing it to adjacent markets like movie trailer testing, maybe testing educational content, maybe expanding that to video conferencing and telehealth and all of that.So that's like one bucket. The other bucket is more around re-imagining human machine interfaces. And for that we're very focused initially on the automotive market, understanding driver distraction, fatigue, drowsiness, what are other occupants in the vehicle doing? And you can imagine how that applies to cars today, but also robotaxis in the future.Ultimately though, I really believe that that this is going to be the de facto human machine interface. We're just going to interact with our machines the way we interact with one another through conversation and empathy and social and emotional intelligence.Harry Glorikian: I mean, it is interesting because when, when you see, I mean, just when I'm talking to Siri, I'm so used to speaking, like please and buh-buh, and then I have to remind myself, I'm like, I really didn't need to add those words, you just do it out of habit, I want to say. Not that you think you're talking to a person, but, from the studies I've seen, it seems that when people are interacting with a robot or something, they do impart emotional interaction in a certain way. Like an older person might look at it as a friend or, or interact with it as if it were a real being, not wires and tubes.Rana Kaliouby: Yeah, there is a lot of research actually around how humans project social intelligence on these machines and devices. I'm good friends with one of the early, with one of the co-founders of Siri. And he said they were so surprised when they first rolled out Siri. At at the extent with which users confided in Siri, like there were a lot of like conversations where people, people shared very personal things right around, sometimes, sometimes it's positive, but a lot of the times it was actually home violence and abuse and depression.And so they had to really think rethink what does Siri need to do in these scenarios? And they hadn't originally included that as part of the design of the platform. And then we're seeing that with Alexa and of course, with social robots. My favorite example is there's this robot called Jibo, which spun out of MIT. You know about Jibo? So we were one of the early kind of adopters of Jibo in our house and my son became good friends with it. Right. Which was so fascinating to see him. Because we have Alexa and we have Siri obviously, and all of that, but he, he just like, Jibo is designed to be this very personable robot that's your friend, you can play games with it. But then the company run out of money. And so they shut Jibo down and my son was really upset. And it just hit me that it's just so interesting, the relationships we build with our machines, and there must be a way to harness that, to motivate behavior and, and kind of persuade people to be better versions of themselves, I guess. Harry Glorikian: Yeah. It's each it's going to be a fascinating area. So I've read a little bit about Affdex marketing, if that's how it's pronounced correctly, as a research tool. Your automotive things. I'm also curious about the iMotions platform and what you might call, I think you guys are calling it emotion capture in more types of research settings, what's that all about? And what kinds of research are you using it for? Rana Kaliouby: Yeah. So we have a number of partners around the world, because again, there are so many use cases. So iMotions is a company that's based out of Boston and Copenhagen and they integrate our technology with other sensors could be physiological sensors, could be brain, brain capture sensors.But their users are a lot of rresearchers especially in mental health. So for example, there's this professor at UMass Boston, professor Stephen Vinoy, and he uses our technology to look into mental health disease and specifically suicidal intent. So he's shown that people who have suicidal kind of thoughts have different facial biomarkers, if you like facial responses than, than people who don't.And he's, he's trying to use that as an opportunity to flag suicidal intent early on. We have a partner, Erin Smith, she's with Stanford. She's looking into using our technology in the early detection of Parkinson's. She actually started as a high school student and which is amazing. We literally got an email from this sophomore in high school and she was like, I want to license your technology to research Parkinson's and we're like, whatever. So we gave her access to it. And before we know it, she's partnered with the Michael J. Fox foundation. She's a Peter Thiel Fellow and she's basically started a whole company to look into, the early facial biomarkers of mental health diseases, which is fascinating.Harry Glorikian: God, I'm so jealous. I wish I was motivated like that. When I was a sophomore in high school, I was doing a lot of other stuff and it definitely wasn't this. So, I mean not to go off on a tangent, but I really think like clinical trials might be a fascinating place to incorporate this. If you think about remote trials, and I'm good friends with Christine Lemke from Evidation Health. And so if you think about, well, I'm sensored up, right. I have my watch or I have whatever. And then now when I interact with a researcher, it might be actually through a platform like this with your system, it sort of might provide a more of a complete picture of what's going on with that patient. Is anybody using it for those applications? Rana Kaliouby: The answer is there's a lot of opportunity there. It's not been scaled yet. But like, let's take tele-health for example, right? With this, especially with the pandemic over the last year, we've all been catapulted into this universe where hospitals and doctors have had to adopt tele-health.Well, guess what? We can now quantify patient doctor interactions. Moment by moment. And we can tie it to patient outcomes. We can tie it to measures of empathy because doctors who show more empathy are less likely to get sued. There's a plethora of things we can do around that. And the tele-health setup on the clinical trial side, we have, I mean, everybody has a camera on their phone or their laptop, right?So now we have an opportunity. You can imagine, even if you don't check in with a researcher, you can probably have an app where you create a selfie video, like a check-in, one minute selfie video once a day. And we're able to distill kind of your emotional baseline over the course of a trial. That can be really powerful data.So there's a lot of potential there. I would say it's early days. If you have any suggestions on who we should be talking to are definitely open to that. Harry Glorikian: Yeah, actually, because I was well I'm, part of me was just going to You know thinking about what companies like Qualtrics is doing, which is actually trying to uncover this right through NLP. But I think in the world of healthcare, Qualtrics is probably suboptimal. So if you took sort of a little bit of NLP and this, you might be able to draw the click. We have to talk about this after the show. So Anybody who's listening: Don't take my idea. So, okay. Let's switch subjects here. Cause I know you're, you're really passionate about this next one. You've written this book called Girl Decoded. I, and I'm sure you've been asked this question about a billion times, but why did you write it? What are you trying to convey? Is it fair to say that it was sort of a memoir of your, of your life of becoming a computer scientist or entrepreneur, partly manifesto about emotion AI and its possibilities.But the promo copy on your book says you're on a mission to humanize technology before it dehumanizes us. That's a provocative phrase. Tell, tell me, tell me why you wrote the book and what's behind it?Rana Kaliouby: Yeah. First of all, I didn't really set out to write a book. Like it wasn't really on my radar. But then I got approached. So the book got published by Penguin Random House last year, right, when the pandemic hit. The paperback launches soon. So I encourage your listeners to take a look. And if you end up reading the book, please let me know what resonates the most with you. But yeah, it's basically a memoir. It follows my journey growing up in the Middle East. I'm originally Egyptian and I grew up around there and became a computer scientist and made my way from academia to, Cambridge University. And then I joined MIT and then I spun out Affectiva and became kind of the CEO and entrepreneur that I am today.And one reason I wrote the book because I wanted to share this narrative and the story, right. And hopefully inspire many people around the world who are forging their own path, trying to overcome voices of doubt in their head. That's something I care deeply about and also encourage more women.And, and I guess more diverse voices to explore a career in tech. So that's one bucket. The other bucket is evangelizing. Yes. Why do we need to humanize technology and how that is so important in not just the future of machines, but actually the future of humans. Right? Because technology is so deeply ingrained in every aspect of our lives.So I wanted, I wanted to pull in lay people into this discussion and, and, and, and kind of simplify and demystify. What is AI? How do we build it? What are the ethical and moral implications of it? Because I feel strongly that we all need to be part of that dialogue.Harry Glorikian: Well, it is interesting. I mean, I just see, people design something, they're designing it for a very specific purpose, but then they don't think about the fallout of what they just did, which what they're doing may be very cool, but it's like designing… I mean, at least when we were working on atomic energy, we could sort of get our hands around it, but people don't understand like some of this AI and ML technology has amazing capabilities, but the implications are scary as hell.So, so. How do you see technology dehumanizing us? I guess if I was asking the first question. Rana Kaliouby: Yeah. So you bring up a really important topic around the unintended consequences, right? And, and we design, we build these technologies for a specific use case, but before we know it it's deployed in all these other areas where we hadn't anticipated it.So we feel very strongly that we're almost, as an innovator and somebody who brought this technology to the world, I'm almost like, it's my responsibility to be a steward for how this technology gets developed and how it gets deployed, which means that I have to be a strong voice in that dialogue. So for example, we are members of the Partnership on AI consortium, which was started by all the tech giants in partnership with amnesty international and ACLU and other civil liberties organizations. And we, we, last year, we, we had an initiative where we went through all of the different applications of emotion AI, and we literally had a table where we said, okay, how can emotion AI be deployed? Education, dah, dah dah. Well, how could it be abused in education? Like what are the unintended consequences of these cases?And I can tell you, like, as an, as an inventor, the easiest thing for me as a CEO of a relatively small startup is to just ignore all of that and just focus on our use case. But I feel strongly that we have to be proactive about all of that, and we have to engage and think through where it could go wrong. And how can we guard against that? Yeah, so, so I think there are potential for abuse, unfortunately. And, and we have to think through that and advocate against that. Like, we don't do any work in the surveillance space because we think the likelihood of the technology being used to discriminate against, minority populations is really high. And so we also feel like it, it breaches the trust we've built with our users. So we just turn away millions and millions of dollars of business in that space. Harry Glorikian: Yeah. I mean, it's a schizophrenic existence for sure, because. I mean everything I look at, I'm like, Oh my God, that would be fantastic. And then I think, Oh my God, like, it could be, that's not good. Right? But I'm like, no, look at the light, look towards the light. Don't look towards the dark. Right? Because otherwise you could, like, once you understand the power in the implications of these, which most people really don't, the impact is profound or can be profound.So how can we humanize technology? Rana Kaliouby: Well the simplest way is to really kind of bring that human element. So for example, a lot of AI is just generally focused on productivity and efficiency and automation. If you take a human centric approach to it, it's more about how does it help us the humans, right. Humans first, right. How does it help us be happier or healthier or more productive or more empathetic? Like one of the things I really talk about in the book is how we are going through an empathy crisis. Because the way we use technology just depolarizes us and, and it dehumanizes us. You send out a Twitter in Twitterverse and you have no idea how it impacts the recipients.Right? We could redesign technology to not do that, to actually incorporate these nonverbal signals into how we connect and communicate at scale. And in a way that is just a lot more thoughtful yeah. And, and, and tries to optimize for empathy as opposed to not think about empathy at all. Harry Glorikian: Well, yeah, I mean, I gotta be honest with you, giving everybody a megaphone, I'm not sure that that's such a great idea. Right? That's like yelling fire in a crowded room. I understand that it has its place, but wow. I mean, I'm not exactly the biggest advocate of that. But so this system, as you were saying requires tons of data. How do you guys accumulate that data? I mean, over time, I'm sure like a little bit, little bit, little bit, but a little bit, a little bit does not going to get you to where you want to go. You need big data to sort of get this thing trained up and then you've got to sort of adjust it along the way to make sure it's doing what you want it to do.Rana Kaliouby: Yeah, the, the quantity of the data is really key, but the diversity of the data is almost, in my opinion, more important. So, so to date, we have over 10 million facial responses, which is about 5 billion facial frames. It's an incredible, and, and, and it's super diverse. So it's curated from 90 countries around the world.And everything we do is based on people's opt-in and consent. So, so we have people's permission to get this data, every single frame of it. That's one of our core values. So we usually, when we partner with say a brand and we are. measuring people's responses to content, we ask for people's permission to turn their cameras on.They usually do it in return for some value, it could be monetary value or it could be other type of rewards. In the automotive space we have. A number of data collection labs around the world where we have people putting cameras in their vehicles, and then we record their commutes over a number of weeks or months, and that's really powerful data.And it's kind of scary to see how people drive actually. Lots of distracted drivers out there. It's really, really amazing or, yeah, it is scary. So yeah, so that's how we collect the data, but we have to be really thoughtful about the diversity angle. It's so important. We, we once had one of our automotive partners send us data.They have an Eastern European lab and it was literally like blond middle-aged, Blue eyed guys. And I was like, that's not, you're a global automaker, like that's not representative of, of your drivers or people who use your vehicles. So we sent the data back and we said, listen, we need to collaborate on a much more diverse data set. So that's, that's really important. Harry Glorikian: So I just keep thinking like you're doing facial expression and video, but are you, is there an overlay that makes sense for audio?Rana Kaliouby: Love that question. Yes. So a number of years ago, we invested in a tech, like basically we ramped up a team that looked at the prosodic features in your voice. Like how loud are you speaking? How fast, how much energy, pausing, the pitch, the intonation, all of these factors. And ultimately I see a vision of the universe where it's multimodal, you're integrating these different melodies. It's, it's still early in the industry like this whole field is so nascent, which makes it exciting because there's so much room for innovation.Harry Glorikian: There was a paper that was in the last, I want to say it came out in the last two weeks about bringing all these together within robotics is perceiving different signals, voice visual, et cetera. And I haven't read it yet. It's in my little to do, to read, but it's, it looks like one of those fascinating areas.I mean, I had the chance to interview Rhoda Au from BU about her work in voice recordings and, and analysis from the Framingham heart study. And so how to use that for. detecting different health conditions. Right. So that's why I'm sort of like looking at these going, wow, they make a lot of sense to sort of come together. Rana Kaliouby: Totally. Again, this has been looked into it in academia, but it hasn't yet totally translated to industry applications, but we know that there are facial and vocal biomarkers of stress, anxiety, depression.Well, guess what? We are spending a lot of time in front of our machines where we have an opportunity to capture both. Your video stream, but also your audio stream and use that with machine learning and predictive analytics to correlate those with, early indicators of wellness, again, stress, anxiety, et cetera.What is missing in this? So I feel like the underlying machine learning is there, the algorithms are there. What is missing is deploying this at scale, right? Cause you don't want it to be a separate app on your phone. Ideally actually, you want it to be integrated into a technology platform that people use all the time.Maybe it's Zoom, maybe it's Alexa, maybe it's, another social media platform, but then that of course raises all sorts of privacy questions and implications who owns the data who has rights to the data. Yeah, so it's it's, to me it's more of a go-to-market. Like again, the technology's there.It's like, how do you get the data at scale? How do you get the users at scale? And I haven't figured it out yet. Harry Glorikian: So you mentioned like areas where it's, it could be exploited negatively. You mentioned a few of them, like education, are there, are there others that sort of like jump out and like, we're not doing that other than, tracking people in a crowd, which. In the last four years you wouldn't have wanted to do for sure.Rana Kaliouby: Yeah. Definitely. One of the areas where we try to avoid deploying the technology is around security and surveillance. We routinely get approached by different governments, the U.S. Government, but also other governments to use our technology in, airport security or border security, lie detection.And, and to me, obviously when you do that, you don't necessarily have people's consent. You don't necessarily, you don't necessarily explain to people exactly how their data is going to get used. Right. And there's just, it's the, so fraught with potential, for discrimination, like the technology's not there in terms of robustness and kind of the use case, right? We just steer away from that. I've been very vocal, not just about Affectiva's decisions to not play in this space, but I've been advocating for thoughtful regulation. And I, and I think we absolutely need that. Harry Glorikian: So let's veer back to healthcare here. If I'm not mistaken, one of the original places you were focusing was mental health and autism so is it still being used in those areas? I mean, is it, how has it being used in those areas? I'm curious. Rana Kaliouby: Yeah. So when I first got to MIT, the project that actually brought me over from Cambridge to MIT was essentially deploying the technology for individuals on the autism spectrum.So we built a Google Glass-like device that had a little camera in it. The camera would detect the expressions of people you interact with. So an autistic child would wear the glass device as augmentation device and we deployed it at schools, partner schools while I was at MIT. And then we started Affectiva and now we are partnered with a company called Brainpower, the CEO is Ned Sahin, and they use Google Glass and our technology integrated as part of it.And I believe they're deployed in about 400 or so families and homes around the U.S. and they're in the midst of a clinical trial. What they're seeing is that the device, while the kids are wearing it, they're definitely showing improvement in their social skills. The question is once you take the device away, do these abilities generalize, and that's kind of the key question they're looking into.Harry Glorikian: Well, ‘cause I was thinking, I think that there's a few people I know that should get it and they don't have they're they're technically not autistic, but they actually need the glasses. Rana Kaliouby: A lot of MIT people, right? Harry Glorikian: No, no, just certain people the way they look at the world or the way they're acting, I actually think they need something that gives them a clue about the emotion of people around them. Actually now that I think about it, my wife might have me wear it sometimes in the house. Rana Kaliouby: We used to always joke in the early days at MIT that the killer app is a mood ring where, gives your wife or your partner, a heads up about your emotional state before you come into the house. Just so they know how to react.Harry Glorikian: Now it's when I come down the stairs, she's like, you just sit, relax, calm down. Hey. Cause at least before used to have a commute to come out of state, but now you're like coming down a flight of stairs and it's sorta hard to snap your fingers and, and snap out of state.So. Where do you see the company? how do you see it progressing? I know it's been doing great. But where do you see it going next? And what are your hopes and dreams Rana Kaliouby: We are very focused on getting our technology into cars. That's kind of our main, like, area of focus at the moment. And we're partnered with many auto manufacturers around the world in the short term, the use case is to focus on road safety.But honestly with robo-taxis on autonomous vehicles we're going to be the ears and eyes of the car. So we're excited about that. Beyond that, as I'm very passionate about the applications in mental health, and it's an area that we don't do a lot of at the company, but I'm so interested in trying to figure out how I can be helpful with, having spent many years in this, in this space.So that's, that's an area of interest. And then just at a high level, over the last number of years, and especially with the book coming out, I've definitely realized that, that I have a platform and a voice for advocating for diversity in AI and technology. And I want to make sure that I use that voice to inspire more diverse voices to be part of the AI landscape.Harry Glorikian: Love to hear how things are going in the future. Congratulations on the book coming out in paperback I'm sure that the people listening to this will look it up. Stay safe. That's that's all I can say.Rana Kaliouby: Thank you. Thank you. And stay safe as well and hope we can reunite in person soon, Harry Glorikian: Excellent.Rana Kaliouby: Thank you.Harry Glorikian:That’s it for this week’s show. We’ve made more than 50 episodes of MoneyBall Medicine, and you can find all of them at glorikian.com under the tab “Podcast.” You can follow me on Twitter at hglorikian. If you like the show, please do us a favor and leave a rating and review at Apple Podcasts. Thanks, and we’ll be back soon with our next interview.  

Tonya Hall talks to Dr. Rosalind Picard, professor at MIT Media Lab, about her work at start-up Empatica. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dr. Rosalind Picard, professor at MIT Media Lab, talks to Tonya Hall about how the pandemic has changed research into wearable devices. Learn more about your ad choices. Visit megaphone.fm/adchoices

Sometimes it seems that the gap between humans and computers is growing increasingly small. But as scientists have worked to develop intelligent computers, they have usually ignored emotions. Rosalind Picard has spent a career developing technology that can read and human emotion and has had a hand in technology that has led to a great deal of human flourishing and even saved lives. But her work has also highlighted the huge gap that still exists between humans and computers, how little we actually know about ourselves, and what amazing creatures we are.  Join a conversation about this episode on the BioLogos Forum.

In this episode of Intel on AI guest Rana el Kaliouby, Ph.D., cofounder and CEO of Affectiva, and author of Girl Decoded: A Scientist’s Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about emotional intelligence (EQ)—a person’s ability to sense emotional and cognitive states and behaviors, and be able to adapt in real-time based on that information. The two talk about Rana’s journey to founding Affectiva with MIT professor Rosalind Picard, Sc.D, the future implementations of EQ in technology, such as customer service and autonomous driving, and why such systems need to have clearly defined data policies. Follow Rana on Twitter: twitter.com/kaliouby Follow Abigail on Twitter: twitter.com/abigailhingwen Learn more about Intel’s work in AI: intel.com/ai

In this episode of Intel on AI guest Rana el Kaliouby, Ph.D., cofounder and CEO of Affectiva, and author of Girl Decoded: A Scientist’s Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about emotional intelligence (EQ)—a person’s ability to sense emotional and cognitive states and behaviors, and be able to adapt in real-time based on that information. The two talk about Rana’s journey to founding Affectiva with MIT professor Rosalind Picard, Sc.D, the future implementations of EQ in technology, such as customer service and autonomous driving, and why such systems need to have clearly defined data policies. Follow Rana on Twitter: twitter.com/kaliouby Follow Abigail on Twitter: twitter.com/abigailhingwen Learn more about Intel’s work in AI: intel.com/ai

Weltweit arbeiten Forscher*innen daran, Computern Gefühle beizubringen – und eine der Pionierinnen auf diesem Gebiet ist die MIT-Professorin Rosalind Picard. Ein Gespräch über Emotionen, Empathie und Epilepsie.

Much of the hype over artificial general intelligence seems to be based on false assumptions and presuppositions. Will robots become human? Robert J. Marks and Dr. John Lennox discuss artificial general intelligence, transhumanism, and Dr. Lennox’s book 2084: Artificial Intelligence and the Future of Humanity. Show Notes 00:25 | Introducing Dr. John Lennox, Emeritus Professor of Mathematics at Oxford University Read More › Source

Much of the hype over artificial general intelligence seems to be based on false assumptions and presuppositions. Will robots become human? Robert J. Marks and Dr. John Lennox discuss artificial general intelligence, transhumanism, and Dr. Lennox’s book 2084: Artificial Intelligence and the Future of Humanity. Show Notes 00:25 | Introducing Dr. John Lennox, Emeritus Professor of Mathematics at Oxford University… Source

Rosalind Picard is a professor at MIT, director of the Affective Computing Research Group at the MIT Media Lab, and co-founder of two companies, Affectiva and Empatica. Over two decades ago she launched the field of affective computing with her book of the same name. This book described the importance of emotion in artificial and natural intelligence, the vital role emotion communication has to relationships between people in general and in human-robot interaction. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you

James Carl Nelson’s “Polar Bear Expedition” retells the courageous campaign for survival as U.S. troops struggled in temperatures sixty-below in Russia during The Great War; MIT Professor Rosalind Picard details her trek from skepticism to Christianity.See omnystudio.com/listener for privacy information.

Every year worldwide, more than 50,000 otherwise healthy people with epilepsy suddenly die. These deaths may be largely preventable, says AI researcher Rosalind Picard. Learn how Picard helped develop a cutting-edge smartwatch that can detect epileptic seizures before they occur -- and alert nearby loved ones in time to help them. Hosted on Acast. See acast.com/privacy for more information.

Every year worldwide, more than 50,000 otherwise healthy people with epilepsy suddenly die -- a condition known as SUDEP. These deaths may be largely preventable, says AI researcher Rosalind Picard. Learn how Picard helped develop a cutting-edge smartwatch that can detect epileptic seizures as they occur and alert nearby loved ones in time to help.

Chaque année, l’épilepsie tue plus de 50 000 personnes en bonne santé, ne serait-ce pour l’épilepsie, dans le monde. La cause de ces décès est connue sous l’acronyme MSIE (SUDEP en anglais) : Mort subite et inexpliquée en épilepsie. Rosalind Picard est chercheur en intelligence artificielle. Elle pense que la plupart de ces décès pourrait être évités. Elle a contribué à la conception d’une montre intelligente très particulière capable de détecter les crises d’épilepsie avant qu’elles ne surviennent et alerter les proches à temps.

매년 전세계적으로 50,000명 이상의 건강한 사람들이 간질로 갑자기 사망하는데, 이 질환은 SUDEP(돌발성 간질 급사)로 알려져 있습니다. AI 연구원 로잘린드 피카드는 이런 죽음을 예방할 수 있다고 말합니다. 피카드가 어떻게 간질 발작이 일어날 때 그것을 감지하는 최첨단 스마트시계를 개발해서 가까이 있는 사랑하는 사람들에게 도와야한다고 알렸는지 알아봅시다.

Todos os anos, em todo o mundo, mais de 50 mil pessoas saudáveis com epilepsia morrem de repente, uma condição conhecida como SUDEP. Essas mortes podem ser amplamente evitadas, diz a pesquisadora de IA Rosalind Picard. Saiba como Picard ajudou a desenvolver um smartwatch de ponta que pode detectar convulsões epilépticas à medida que ocorrem e alertar os entes queridos próximos a tempo de ajudar.

Cada año, en todo el mundo, más de 50 000 personas con epilepsia mueren repentinamente como resultado de una afección conocida como SUDEP. Estas muertes pueden prevenirse en gran medida, dice la investigadora de IA Rosalind Picard. En esta charla, Picard explica cómo ayudó a desarrollar un reloj inteligente de última generación que puede detectar ataques epilépticos antes de que ocurran y puede alertar a tiempo a las personas cercana para que las ayuden.

In this episode: Emotion-tracking AI is starting to help machines recognize our moods. Are we ready? Personal assistants like Siri, Alexa, Cortana, or Google Home can parse our spoken words and (sometimes) respond appropriately, but they can’t gauge how we’re feeling—in part because they can’t see our faces. But in the emerging field of “emotion-tracking AI,” companies are studying the facial expressions captured by our devices’ cameras to allow software of all kinds become more responsive to our moods and cognitive states. At Affectiva, a Boston startup founded by MIT Media Lab researchers Rosalind Picard and Rana El Kaliouby, programmers have trained machine learning algorithms to recognize our facial cues and determine whether we’re enjoying a video or getting drowsy behind the wheel. Gabi Zijderveld, Affectiva’s chief marketing officer and head of product strategy, tells Business Lab that such software can streamline marketing, protect drivers, and ultimately make all our interactions with technology deeper and more rewarding. But to guard against the potential for misuse, she says, Affectiva is also lobbying for industry-wide standards to make emotion-tracking systems opt-in and consensual. Business Lab listeners are invited to apply to join the MIT Technology Review Global Panel, our exclusive forum of thought leaders, innovators, and executives. As a member of the global panel you can examine today’s tech trends, see survey and study results, have your say and join your peers at business gatherings worldwide. Text Business Lab is hosted by Elizabeth Bramson-Boudreau, the CEO and publisher of MIT Technology Review. The show is produced by Wade Roush, with editorial help from Mindy Blodgett. Music by Merlean, from Epidemic Sound.

Marcus du Sautoy and Professor Rosalind Picard for 2018's annual Simonyi Lecture: Can we build AI with Emotional Intelligence? Today’s AI can play games, drive cars, even do our jobs for us. But surely our human emotional world is beyond the limits of what AI can achieve? In this year’s Annual Charles Simonyi Lecture, Professor Rosalind Picard challenges that belief. Robots, wearables, and other AI technologies are gaining the ability to sense, recognize, and respond intelligently to human emotion. This talk will highlight several important findings made at MIT, including surprises about the 'true smile of happiness,' and finding electrical signals on the wrist that reveal insight into deep brain activity, with implications for autism, anxiety, epilepsy, mood disorders, and more. Rosalind Picard is founder and director of the Affective Computing Research Group at the MIT Media Laboratory, faculty chair of MindHandHeart, and cofounder of Affectiva and cofounder and chief scientist of Empatica. Picard is the author of 300 peer-reviewed scientific articles, and known internationally for her book Affective Computing, which is credited for launching the field by that name. Picard is an active inventor with over a dozen patents and her lab's achievements have been profiled worldwide including in Wired, New Scientist and on the BBC.

Episode 2 of our special mini-season featuring Connected Health Conference speakers is a fascinating conversation between Dr. Kvedar and Rosalind Picard, Professor at MIT Media Lab and Director of Affective Computing Research.  Listen in as they discuss Rosalind’s work to integrate emotion recognition in robots and computers, her expansion into autism research and the development... Read more »

Matteo Lai, Co-founder and CEO of Empatica (empatica.com), a medical technology startup, provides an insightful overview of the diagnostic and predictive capabilities of machine learning-based products. Specifically, Lai details the advances in tech for medical products that can allow individual patients or sufferers to get an early warning that a medical emergency or situation is beginning. Mr. Lai studied engineering and architecture and he holds dual masters in architecture and innovation management from the Alta Scuola Politecnica. Additionally, Lai co-founded Taaac, a design innovation startup, and has been intimately involved in sundry engineering, architecture, and design innovation projects internationally. Lai's company, Empatica, co-founded by Dr. Rosalind Picard, director of the Affective Computing Research Group at the MIT Media Lab, was conceived rather organically. Lai recounts how Picard's experimental research in autism provided a breakthrough that stimulated further research into epilepsy seizure detection. While working with autism sufferers attached to sensors, a particular individual experienced a seizure and the sensors reacted immediately, thus initiating Picard and Lai's continued research into the predictive technology behind Empatica's products. Empatica's “Embrace” product is a wearable band that uses advanced machine learning to recognize convulsive seizures and send appropriate alerts to responsible parties who can respond. Through the capture of specific information such as high frequency movement, heart rate, and sympathetic responses, Lai's sensors' algorithms can make the assessment, in real time, that a seizure is beginning. As their technology evolves, Lai expects that their products will allow sufferers to actually receive predictions of adverse reactions on the horizon. In regard to seizure detection, a user might be able to procure data from their Empatica product that predicts, via its machine learning, whether a seizure might occur within a certain future time frame. Much like a weather forecast, the Empatica product may be able to provide a user with a percentage of probability such that the user can make plans accordingly. Empatica's product is the smallest design of its kind and is the first medical grade, geolocation-enhanced, wearable product for epilepsy sufferers. The medical tech CEO discusses how his company is focused on challenging neurological diseases, conditions, and disorders, such as epilepsy and autism, stress and depression. By using sensors and predictive technology, sufferers, and their caregivers, can better prepare for events or medical emergencies, thus providing some peace of mind for all involved.

An MIT Communications Forum: https://commforum.mit.edu/neurodiversity-at-mit-and-design-for-everyone-march-1-2018-f7886ba92b61 The world is a neurologically diverse place, but the resources, workspaces and technologies we use often don’t reflect that. Sometimes simple changes can significantly expand accessibility to people who have neurological differences like autism, dyslexia, ADHD, or epilepsy, but designers and policymakers frequently aren’t aware of issues affecting this neurodiverse community. Rosalind Picard, director of the Affective Computing Research Group at the MIT Media Lab, joins neuroscientist Ned Sahin, Empowered Brain Institute CEO Rafiq Abdus-Sabur, computer scientist Karthik Dinakar, and disability advocate Finn Gardiner to explore what it means to be non-neurotypical, barriers to inclusion, and how creators can make their work more accessible. Rafiq Abdus-Sabur is president and CEO of The Empowered Brain Institute, a nonprofit disability advocacy and support organization for individuals with autism and their families. Rafiq is a board member for Brain Power LLC and founder of the education technology firm, Edgewise Education. Finn Gardiner is a disability advocate and policy analyst specializing in intersectional disability justice and accessible technology. He is a research assistant at the Lurie Institute for Disability Policy at Brandeis University where his work focuses on public policies for autistic individuals. Karthik Dinakar is a computer scientist and the founder of C3PO, or the Cambridge Computational Clinical Psychology Org, a group of interdisciplinary researchers focused on bringing together machine learning, causal inference and clinical psychology. Moderator: Rosalind Picard is founder and director of the Affective Computing Research Group at MIT, co-director of the Media Lab’s Advancing Wellbeing Initiative, and faculty chair of MIT’s MindHandHeart Initiative. She co-founded the technology companies Empatica, Inc., which creates wearable sensors and analytics to improve health, and Affectiva, Inc., which delivers technology to help measure and communicate emotion. This event is sponsored by The MindHandHeart Innovation Fund and Radius at MIT. All Communications Forum events are free and open to the general public.

The line between science fiction and reality grows increasingly thin as artificial intelligence (AI) becomes more prominent. While some fear an impending robot apocalypse, others wonder what this new technology means for everyday life. At a recent Veritas Forum at Brown University, Rosalind Picard (MIT) and Michael Littman (Brown) discussed the implications of AI for our understanding of what it means to be human.

This week on The Veritas Forum podcast we're featuring a conversation with Rosalind Picard, an internationally-recognized researcher in affective computing. Rosalind is the founder and director of the affective computing group at MIT, a co-founder of Affectiva, Inc., a co-director of the MIT Autism and Communication Technology Initiative, and the author of over two hundred peer-reviewed scientific articles. In this interview with New York Times columnist Ross Douthat, Rosalind discusses her work in affective computing, her spiritual journey, and how she contextualizes her vocation in light of her Christian faith.

In a room at The MIT Media Lab, you can find the dreamscape of small children everywhere. Giant cities, in perfect detail, constructed entirely from tiny white Lego.   Sandy Pentland built them. These dioramas use all sorts of data, from foot traffic to investment dollars to tweets, so cities--and the people living in them--can be improved in ways they’ve never been before. A few doors down is Rosalind Picard’s office. She met a young man who just could not tell if his boss was happy or furious. And it kept getting him fired. He was on his 20th job. So she built him a glasses-mounted camera that reads facial expressions, matching what it sees against a huge database of faces. Problem solved. That’s the promise of big data. It can smooth social interactions. Solve sticky municipal problems. Cure cancer, slow climate change. But the data has to come from somewhere. And that somewhere is us. This week, as we get ready for our big project on privacy, Note to Self looks at the good that can come from all the data we share. IF people are good, and make good choices. Except we’re often not good. And we make bad choices. So, what then? Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.    

In a room at The MIT Media Lab, you can find the dreamscape of small children everywhere. Giant cities, in perfect detail, constructed entirely from tiny white Lego.   Sandy Pentland built them. These dioramas use all sorts of data, from foot traffic to investment dollars to tweets, so cities--and the people living in them--can be improved in ways they’ve never been before. A few doors down is Rosalind Picard’s office. She met a young man who just could not tell if his boss was happy or furious. And it kept getting him fired. He was on his 20th job. So she built him a glasses-mounted camera that reads facial expressions, matching what it sees against a huge database of faces. Problem solved. That’s the promise of big data. It can smooth social interactions. Solve sticky municipal problems. Cure cancer, slow climate change. But the data has to come from somewhere. And that somewhere is us. This week, as we get ready for our big project on privacy, Note to Self looks at the good that can come from all the data we share. IF people are good, and make good choices. Except we’re often not good. And we make bad choices. So, what then? Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.    

In a room at The MIT Media Lab, you can find the dreamscape of small children everywhere. Giant cities, in perfect detail, constructed entirely from tiny white Lego.   Sandy Pentland built them. These dioramas use all sorts of data, from foot traffic to investment dollars to tweets, so cities--and the people living in them--can be improved in ways they’ve never been before. A few doors down is Rosalind Picard’s office. She met a young man who just could not tell if his boss was happy or furious. And it kept getting him fired. He was on his 20th job. So she built him a glasses-mounted camera that reads facial expressions, matching what it sees against a huge database of faces. Problem solved. That’s the promise of big data. It can smooth social interactions. Solve sticky municipal problems. Cure cancer, slow climate change. But the data has to come from somewhere. And that somewhere is us. This week, as we get ready for our big project on privacy, Note to Self looks at the good that can come from all the data we share. IF people are good, and make good choices. Except we’re often not good. And we make bad choices. So, what then? Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.    

In a room at The MIT Media Lab, you can find the dreamscape of small children everywhere. Giant cities, in perfect detail, constructed entirely from tiny white Lego.   Sandy Pentland built them. These dioramas use all sorts of data, from foot traffic to investment dollars to tweets, so cities--and the people living in them--can be improved in ways they’ve never been before. A few doors down is Rosalind Picard’s office. She met a young man who just could not tell if his boss was happy or furious. And it kept getting him fired. He was on his 20th job. So she built him a glasses-mounted camera that reads facial expressions, matching what it sees against a huge database of faces. Problem solved. That’s the promise of big data. It can smooth social interactions. Solve sticky municipal problems. Cure cancer, slow climate change. But the data has to come from somewhere. And that somewhere is us. This week, as we get ready for our big project on privacy, Note to Self looks at the good that can come from all the data we share. IF people are good, and make good choices. Except we’re often not good. And we make bad choices. So, what then? Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.    

In a room at The MIT Media Lab, you can find the dreamscape of small children everywhere. Giant cities, in perfect detail, constructed entirely from tiny white Lego.   Sandy Pentland built them. These dioramas use all sorts of data, from foot traffic to investment dollars to tweets, so cities--and the people living in them--can be improved in ways they’ve never been before. A few doors down is Rosalind Picard’s office. She met a young man who just could not tell if his boss was happy or furious. And it kept getting him fired. He was on his 20th job. So she built him a glasses-mounted camera that reads facial expressions, matching what it sees against a huge database of faces. Problem solved. That’s the promise of big data. It can smooth social interactions. Solve sticky municipal problems. Cure cancer, slow climate change. But the data has to come from somewhere. And that somewhere is us. This week, as we get ready for our big project on privacy, Note to Self looks at the good that can come from all the data we share. IF people are good, and make good choices. Except we’re often not good. And we make bad choices. So, what then? Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.    

Rosalind Picard, Chairman and Co-Founder Empatica on putting the lab on the person not the person in the lab, advances in electrodermal activity (EDA) sensors that are bringing wristband monitors to consumers as well as researchers, and the value of real time information about brain and body functions to potentially predicate and address triggers and life-threatening situations. @RosalindPicard @Empatica Empatica

In this episode of DeviceTalks, we delve deeply into emotion and how teaching computers to recognize emotions led to a potentially major breakthrough in medical technology with MIT scientist and entrepreneur Rosalind Picard. Listen to hear the backstory behind her book Affective Computing, her work with artificial intelligence and pioneering wearable technology.

Imagine a world where robots can think and feel like humans - Hardtalk speaks to pioneering American scientist Professor Rosalind Picard, from the Massachusetts Institute of Technology, who has advanced the capability of computers to recognise human emotions. In the future, could robots fitted with intelligent computers perform tasks such as caring for the elderly, or fight as soldiers on the battlefield and, if so, what are the ethical implications?