Podcasts about math destruction

Artificial Intelligence (AI) is a hot topic everywhere these days. What is it, what are its promises, and what are its current limitations in terms of applicability to the work we do in a registrar's office. You'll hear from the Chief AI Officer at George Mason University about the promises and challenges of AI, and from a privacy and information law attorney about some of the considerations we should be making as we pursue any new technology, but AI especially. Key Takeaways:There are many promises of AI, but there are some significant challenges currently, as well. Don't be swept away by the promises without engaging with the limitations.As registrars we have a special responsibility to make sure that the AI we employ maintains the safety, security, and integrity of the data we steward. The Fair Information Practice Principles (FIPPs) can help guide us to positive data governance outcomes.  Be wary of shiny new things. If the promise of something is too good to be true, it probably is. Explore AI and imagine ways it might be applied in your office, but AI is not the only tool available to us, and (in my opinion) we might be better served by pursuing intelligent automation solutions than artificial intelligence (AI) solutions. Host:Doug McKennaUniversity Registrar, George Mason Universitycmckenn@gmu.edu   Guests:Amarda Shehu, PhDChief Artificial Intelligence Officer and Professor, Computer Science, School of Computing, George Mason UniversityClaire McKennaUniversity of Notre Dame Law SchoolClaire McKenna is an attorney with 21 years of experience advising public and private sector clients.  Her practice focuses on all aspects of information law, including privacy, security, access, and disclosure.References and Additional Information:Fair Information Practice Principles (FIPPs) | FPC.govWeapons of Math Destruction by Cathy O'Neil: 9780553418835 | PenguinRandomHouse.com: BooksThe Big Switch | Nicholas Carr  (Sorry I called you “David,” Nicholas!)How much electricity does AI consume?

Introducing Episode 10: “Anybody Can Win, but Everybody's Gonna Lose” from Against the Rules with Michael Lewis.Follow the show: Against the Rules with Michael LewisPerhaps you have someone in your life who’s prone to sports gambling. Michael Lewis has someone. So he comes up with a scheme to “inoculate” his 17-year-old son against the lure of placing bets online. All the while, Lewis tries to craft the perfect “master class” for would-be gamblers to understand the dangers of what they might be getting themselves into. Here's his reading list: The Logic of Sports Betting by Matt Davidow and Ed Miller Stephen Pinker’s Rationality: What It Is, Why It Seems Scarce, Why It Matters Weapons of Math Destruction by Cathy O’Neil See omnystudio.com/listener for privacy information.DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to team@podroll.fm.

Around 15% of the population identify as neurodivergent. However, this is sometimes invisible within organisations, often because employees don't feel safe enough to disclose their neurodivergence to their employer.  In this episode, we speak with Aron Mercer, founding team member at Xceptional, a social enterprise that creates meaningful careers for neurodivergent individuals, about how to create safe, neuro-inclusive cultures. In this episode, you'll learn: How to combat the fear of getting it wrong. Practical ways that HR practitioners can factor neurodiversity inclusion into the employee lifecycle. How to avoid tokenistic initiatives and instead have a meaningful, positive impact on employees' experience at work. SHARE YOUR FEEDBACK: Take our 2-minute survey to share your thoughts on seasons one and two of AHRI: https://bit.ly/3BjN5Ey TRANSCRIPT Access the episode transcript here: https://bit.ly/4ccg7Cz SHOW NOTES

Around 15% of the population identify as neurodivergent. However, this is sometimes invisible within organisations, often because employees don't feel safe enough to disclose their neurodivergence to their employer.  In this episode, we speak with Aron Mercer, founding team member at Xceptional, a social enterprise that creates meaningful careers for neurodivergent individuals, about how to create safe, neuro-inclusive cultures. In this episode, you'll learn: How to combat the fear of getting it wrong. Practical ways that HR practitioners can factor neurodiversity inclusion into the employee lifecycle. How to avoid tokenistic initiatives and instead have a meaningful, positive impact on employees' experience at work. TRANSCRIPT Access the episode transcript here: https://bit.ly/4ccg7Cz SHOW NOTES

When is a cancer scare, a rejected mortgage loan, a false arrest, or predictive grading, more than a glitch in A.I.? That's today's big question, and my guest is Meredith Broussard. Meredith is a data journalist and associate professor at the Arthur L. Carter Journalism Institute of New York University, Research Director at the NYU Alliance for Public Interest Technology and the author of several books I loved, including More Than a Glitch: Confronting Race, Gender and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on A.I. in investigative reporting and ethical A.I., with a particular interest in using data analysis for social good. She's a former features editor at the Philadelphia Inquirer. She's also worked as a software developer at AT&T Bell Labs and at the MIT Media Lab. Meredith's features and essays have appeared in The Atlantic, The New York Times, Slate, and other outlets. If you have ever turned on a computer or used the internet in some way to apply for something, or literally anything, this one is for you.-----------Have feedback or questions? Tweet us, or send a message to questions@importantnotimportant.comNew here? Get started with our fan favorite episodes at podcast.importantnotimportant.com.-----------INI Book Club:Chain Gang All Stars by Nana Kwame Adjei-BrenyahFind all of our guest recommendations at the INI Book Club: https://bookshop.org/lists/important-not-important-book-clubLinks:Read Meredith's books: More Than A Glitch and Artificial UnintelligenceCheck out Meredith's website and follow her on social mediaGet up to speed on A.I. ethics by reading: Weapons of Math Destruction, Algorithms of Oppression, Automating Inequality, Race After Technology, Black SoftwareFollow algorithm and bias influencers Avriel Epps and Joel BervellCheck out the Blueprint for an...

In this episode of The Optimal Path, host Ash Oliver is joined by Amy Lima, formerly product designer at AMP @ Amazon Music and currently founder of Diversify Design. Together, they discuss the role of user research in building community products and how to start and scale a research practice inside design teams.About Amy:Amy Lima is a first-generation Brazilian-American product designer, and founder of Diversify Design.Her global footprint growing up between cultures and across continents brings an innate appreciation for diverse perspectives and a fascination for the human experience. To honor these values, her design philosophy is deeply rooted in ethical and inclusive design practices, with her work focusing on fostering community and social expression in a 0-to-1 design process.Beyond her 9 to 5, she's an active member of the design community and is often found hosting panels, giving conference talks, and writing articles on her experience pivoting into design from the music industry as a minority in tech.Connect with Amy:You can connect with Amy on LinkedIn.Resources:Mismatch by Kat HolmesWeapons of Math Destruction by Cathy O'NeilFollow Maze on Social Media: • X: @mazedesignHQ • Instagram: @mazedesignHQ • LinkedIn: https://www.linkedin.com/company/mazedesignTo get notified when new episodes come out, subscribe at maze.co/podcast.See you next time!

Summary Machine learning and AI applications hold the promise of drastically impacting every aspect of modern life. With that potential for profound change comes a responsibility for the creators of the technology to account for the ramifications of their work. In this episode Nicholas Cifuentes-Goodbody guides us through the minefields of social, technical, and ethical considerations that are necessary to ensure that this next generation of technical and economic systems are equitable and beneficial for the people that they impact. Announcements Hello and welcome to the Machine Learning Podcast, the podcast about machine learning and how to bring it from idea to delivery. Your host is Tobias Macey and today I'm interviewing Nicholas Cifuentes-Goodbody about the different elements of the machine learning workflow where ethics need to be considered Interview Introduction How did you get involved in machine learning? To start with, who is responsible for addressing the ethical concerns around AI? What are the different ways that AI can have positive or negative outcomes from an ethical perspective? What is the role of practitioners/individual contributors in the identification and evaluation of ethical impacts of their work? What are some utilities that are helpful in identifying and addressing bias in training data? How can practitioners address challenges of equity and accessibility in the delivery of AI products? What are some of the options for reducing the energy consumption for training and serving AI? What are the most interesting, innovative, or unexpected ways that you have seen ML teams incorporate ethics into their work? What are the most interesting, unexpected, or challenging lessons that you have learned while working on ethical implications of ML? What are some of the resources that you recommend for people who want to invest in their knowledge and application of ethics in the realm of ML? Contact Info WorldQuant University's Applied Data Science Lab (https://www.wqu.edu/) LinkedIn (https://www.linkedin.com/in/ncgoodbody/) Parting Question From your perspective, what is the biggest barrier to adoption of machine learning today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. The Data Engineering Podcast (https://www.dataengineeringpodcast.com) covers the latest on modern data management. Podcast.__init__ () covers the Python language, its community, and the innovative ways it is being used. Visit the site (https://www.themachinelearningpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@themachinelearningpodcast.com (mailto:hosts@themachinelearningpodcast.com)) with your story. To help other people find the show please leave a review on iTunes (https://podcasts.apple.com/us/podcast/the-machine-learning-podcast/id1626358243) and tell your friends and co-workers. Links UNESCO Recommendation on the Ethics of Artificial Intelligence (https://unesdoc.unesco.org/ark:/48223/pf0000381137) European Union AI Act (https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence) How machine learning helps advance access to human rights information (https://www.youtube.com/watch?v=epaowz3pI40) Disinformation, Team Jorge (https://www.haaretz.com/israel-news/security-aviation/2022-11-16/ty-article-static-ext/the-israelis-destabilizing-democracy-and-disrupting-elections-worldwide/00000186-461e-d80f-abff-6e9e08b10000) China, AI, and Human Rights (https://fsi-live.s3.us-west-1.amazonaws.com/s3fs-public/snapshot_vi-_countering_the_rise_of_digital_authoritarianism_0.pdf) How China Is Using A.I. to Profile a Minority (https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html) Weapons of Math Destruction (https://g.co/kgs/diKJwm) Fairlearn (https://fairlearn.org/) AI Fairness 360 (https://aif360.res.ibm.com/) Allen Institute for AI NYT (https://www.nytimes.com/2023/10/19/technology/allen-institute-open-source-ai.html) Allen Institute for AI (https://allenai.org/) Transformers (https://huggingface.co/docs/transformers/index) AI4ALL (https://ai-4-all.org/) WorldQuant University (https://wqu.edu/) How to Make Generative AI Greener (https://hbr.org/2023/07/how-to-make-generative-ai-greener) Machine Learning Emissions Calculator (https://mlco2.github.io/impact/#compute) Practicing Trustworthy Machine Learning (https://learning.oreilly.com/library/view/practicing-trustworthy-machine/9781098120269/) Energy and Policy Considerations for Deep Learning (https://arxiv.org/abs/1906.02243) Natural Language Processing (https://en.wikipedia.org/wiki/Natural_language_processing) Trolley Problem (https://en.wikipedia.org/wiki/Trolley_problem) Protected Classes (https://en.wikipedia.org/wiki/Protected_group) fairlearn (https://fairlearn.org/) (scikit-learn) BERT Model (https://en.wikipedia.org/wiki/BERT_(language_model)) The intro and outro music is from Hitman's Lovesong feat. Paola Graziano (https://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Hitmans_Lovesong/) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/)/CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0/)

Welcome, tech enthusiasts, software developers, and curious minds alike, to a groundbreaking exploration of a topic that lies at the heart of the ever-evolving world of technology and software development. Join us on a captivating journey as we unravel the complexities and possibilities inherent in "The Versatility of Experience." I'm your host, DJ Daugherty, CTO/co-founder of augustwenty, and I'm truly excited to embark on this podcast with you. Over the coming episode, we will delve deep into the dynamic landscape of technology, where innovation is the lifeblood and adaptability is the key to success. As we embark on this captivating journey, remember that the tech world is a multifaceted tapestry of experiences waiting to be explored. Whether you're a seasoned developer, an aspiring technophile, or simply someone curious about the forces shaping our digital future, this podcast promises to unravel the intricate threads that make up "The Versatility of Experience." So, fasten your seatbelts, tune in, and let's embark on this exciting exploration together. Our adventure begins now, as we navigate the dynamic world of software development and technology, guided by the compass of versatility. Dare to Lead Three Feet From Gold Range Weapons of Math Destruction

The Reality of Sci-Fi: I, Robot and the Future of AI" with Heidi Campo and Shon Harris**Hello, sci-fi enthusiasts! It's Heidi Campo here, and if you've ever been captivated by the futuristic world of I, Robot, you're in for a treat. Today, we dive deep into the realms of artificial intelligence, centralized systems, and the ethical implications of our rapidly advancing tech world. With expert guest Shon Harris, we unravel the parallels between the fictional world of I, Robot and our current reality.**The Aging Tech Forum**: Shon highlights the challenges of having older generations in positions of power who may not fully grasp the intricacies of modern technology. It's a call for younger, tech-savvy individuals to step up and guide the future.**Drawing Parallels**: The discussion takes a turn to iRobot's Dr. Alfred Laning and the real-world tech magnates like Elon Musk. Both warn of the potential threats of unchecked AI advancements.**The Role of AI in Cybersecurity**: A fascinating revelation is the use of AI to combat AI threats. The modern cybersecurity landscape heavily relies on AI to detect and counteract AI-based attacks.**Humanity's Evolution with Technology**: From early man's tools to today's AI, humanity has always used knowledge to enhance itself. AI, as Shon points out, is not the enemy; it's the humans behind it that determine its impact.**Reality Check on Centralized AI**: The feasibility of a centralized AI system controlling society is discussed, with both Heidi and Shon agreeing on its imminent reality.**Protecting Ourselves in the AI Age**: Shon emphasizes the importance of exploration, informed voting, and demanding data privacy. He encourages listeners to be proactive, educate themselves, and advocate for positive change.**Resources and Recommendations**: Shon suggests two enlightening reads: "Weapons of Math Destruction" and "The 26 Words That Created the Internet." Both books delve into the world of AI, its implications, and the legislative controls around it.**Connect with Shon Harris**: For those eager to dive deeper into the world of AI and cybersecurity, Shon is available on LinkedIn, X (Twitter) (@inkedTater), and Instagram. He's always up for a chat about the future of tech! Thank you for joining us on this enlightening journey through the world of iRobot and the realities of AI. Remember, the future is what we make of it. Stay curious, stay informed, and let's shape a world where technology serves humanity, not the other way around. Until next time!

The Reality of Sci-Fi: I, Robot and the Future of AI" with Heidi Campo and Shon Harris**Hello, sci-fi enthusiasts! It's Heidi Campo here, and if you've ever been captivated by the futuristic world of I, Robot, you're in for a treat. Today, we dive deep into the realms of artificial intelligence, centralized systems, and the ethical implications of our rapidly advancing tech world. With expert guest Shon Harris, we unravel the parallels between the fictional world of I, Robot and our current reality.**The Aging Tech Forum**: Shon highlights the challenges of having older generations in positions of power who may not fully grasp the intricacies of modern technology. It's a call for younger, tech-savvy individuals to step up and guide the future.**Drawing Parallels**: The discussion takes a turn to iRobot's Dr. Alfred Laning and the real-world tech magnates like Elon Musk. Both warn of the potential threats of unchecked AI advancements.**The Role of AI in Cybersecurity**: A fascinating revelation is the use of AI to combat AI threats. The modern cybersecurity landscape heavily relies on AI to detect and counteract AI-based attacks.**Humanity's Evolution with Technology**: From early man's tools to today's AI, humanity has always used knowledge to enhance itself. AI, as Shon points out, is not the enemy; it's the humans behind it that determine its impact.**Reality Check on Centralized AI**: The feasibility of a centralized AI system controlling society is discussed, with both Heidi and Shon agreeing on its imminent reality.**Protecting Ourselves in the AI Age**: Shon emphasizes the importance of exploration, informed voting, and demanding data privacy. He encourages listeners to be proactive, educate themselves, and advocate for positive change.**Resources and Recommendations**: Shon suggests two enlightening reads: "Weapons of Math Destruction" and "The 26 Words That Created the Internet." Both books delve into the world of AI, its implications, and the legislative controls around it.**Connect with Shon Harris**: For those eager to dive deeper into the world of AI and cybersecurity, Shon is available on LinkedIn, X (Twitter) (@inkedTater), and Instagram. He's always up for a chat about the future of tech! Thank you for joining us on this enlightening journey through the world of iRobot and the realities of AI. Remember, the future is what we make of it. Stay curious, stay informed, and let's shape a world where technology serves humanity, not the other way around. Until next time!

The California State Board of Education issued on July 12 a new framework for teaching math based on: “updated principles of focus, coherence, and rigor”; “Teaching for Equity and Engagement”; “Structuring School Experiences for Equity and Engagement,” “Supporting Educators in Offering Equitable and Engaging Mathematics Instruction.”  This new framework says that math teachers must be “committed to social justice work to equip students with a toolkit and mindset to identify and combat inequities with mathematics,” and also must teach students that “mathematics plays a role in the power structures and privileges that exist within our society.” Julie reacts.Don't forget to like this video, subscribe to our YouTube channel, and ring the notification bell so you never miss a future upload!  Check out other Julie Hartman videos: https://www.youtube.com/@juliehartman Follow Julie Hartman on social media: Website: https://juliehartmanshow.com/Instagram: https://www.instagram.com/julierhartman/ Twitter: https://twitter.com/JulieRHartman Facebook: https://www.facebook.com/timelesswithjuliehartmanSee omnystudio.com/listener for privacy information.

TEMPORADA 1/2023 __________________________________________________________ Título Libro (Español): Armas de destrucción matemática.  Título Libro (Inglés - Original): Weapons of Math Destruction. Autor(a): Cathy O'Neil. Revisor: Ysau Marte Quiroga Chambi. TEMAS TRATADOS  Fundamentos para convertir un modelo matemático en un ADM. Valores sustitutivos y cómo influyen en los ADM. Modelos usados en el mundo que pueden llegar a ser ADM según el uso que se les llega a dar. Formas de poder evitar ADM en los algoritmos o modelos. IDEA PRINCIPAL: La autora en su libro nos da un panorama acerca de algoritmos en la actualidad que están según su perspectiva mal orientados puesto que existe algunos factores que pueden convertirlos en armas de destrucción por el tipo de uso que se dá. ARGUMENTO DEL AUTOR(A): Existen tres puntos que pueden convertir un modelo matemático en un arma de destrucción entre los cuáles encontramos la opacidad que son las cosas que no logramos entender, dicho de otra forma el funcionamiento detrás de un modelo, la escala que consiste en cuánto se puede maximizar el modelo esto debido a que se puede propagar y el daño es el impacto que puede generar en el mundo de forma indirecta en dónde se aplica, como ser en una empresa, a terceros como ser las personas que recurren a la empresa. __________________________________________________________ No olvides comentarnos: ¿Qué aprendizaje te llevas del episodio? Ya sea en la caja de preguntas y respuestas en Spotify o en un post a través de redes sociales, puedes etiquetarnos como @bookmovementco para que sigamos la conversación.   Disfruta el episodio :)   ÍNDICE  (00:00:00) Introducción, presentación y bienvenida del invitado revisor. (00:01:24) Tesis del libro. (00:05:04) Breve resumen del autor ¿Cuál era su motivación? (00:06:45) Inicio de la revision ¿Qué es un modelo? (00:08:33) ¿Qué lo convierte en un ADM? (00:11:21) Ejemplos de ADM: Evaluaciones universitarias . (00:15:47) Ejemplos de ADM: Prediccion de crímenes. (00:20:35) Ejemplos de ADM: Calificación electrónica. (00:25:50) Conclusiones del autor. (00:28:45) ¿Qué podemos hacer para que estos Modelos no se conviertan en ADM? (00:33:30) Conclusiones y despedida. (00:36:47) Inicio de las preguntas. (00:37:06) P1: ¿Por qué existe una tendencia de convertirse en un ADM? (00:43:50) P2: ¿Como individuos qué podemos hacer para evitar en estas situaciones? (00:46:41) P3: ¿Cuál es el algoritmo mas dañino que cita la autora? (00:48:18) P4: ¿Cómo crees que las redes sociales y plataformas pueden tener una mayor seguridad? (00:51:25) P5: ¿Cómo podemos crear algoritmos mas transparentes? (00:54:56) P6: ¿Tú crees que la tecnología y los algoritmos pueden ser utilizados para reducir la discriminación o son parte del problema? (00:58:10) P7: ¿Hay alguna relación entre al área ciencia de datos con el contenido del texto y lo que la autora quiso plantear? (01:02:50) Palabras finales. (01:03:28) Créditos Equipo SBM.

This week Meri chatted with Class 4 Fellow Ellen Magallanes on her experience in privacy and at the Wikimedia Foundation. Ellen is a dual-qualified US-Australian attorney and a Senior Counsel at the Wikimedia Foundation. Privacy law, like all the best rabbit holes, was something she fell into and never looked back. Now, Ellen furthers her interest in privacy with tech law advocacy in both of her homes: Australia and the US.  They dig into her move from Australia to the US, her work at Wikimedia, and the challenges and wonders of tech policy advocacy and product counseling. Then, Ellen reflects on her journey to her current role and highlights the importance of experimenting to discover one's passion and interests. She also covers taking the CIPP/US exam from IAPP. Find and connect with Ellen Magallanes on LinkedIn here! Resources mentioned in the episode: The Model Minority Myth in Tech [S3E05] Weapons of Math Destruction by Cathy O'Neill  Dare to Lead by Brene Brown  Braving the Wilderness by Brene Brown  You're Invited by Jon Levy  Check out the Foundry on Instagram, Twitter, or LinkedIn and subscribe to our newsletter! If you'd like to support the show, donate to the Foundry here or reach out to us at foundrypodcasts@ilpfoundry.us. Thanks for listening, and stay tuned for our next episode! And get ready - we have some exciting Foundry news coming soon... DISCLAIMER: Meri engages with the Foundry voluntarily and in her personal capacities. The views and opinions expressed on air are not reflective of the organizations Meri is affiliated with.

Paris Marx is joined by Emily M. Bender to discuss what it means to say that ChatGPT is a “stochastic parrot,” why Elon Musk is calling to pause AI development, and how the tech industry uses language to trick us into buying its narratives about technology. Emily M. Bender is a professor in the Department of Linguistics at the University of Washington and the Faculty Director of the Computational Linguistics Master's Program. She's also the director of the Computational Linguistics Laboratory. Follow Emily on Twitter at @emilymbender or on Mastodon at @emilymbender@dair-community.social. Tech Won't Save Us offers a critical perspective on tech, its worldview, and wider society with the goal of inspiring people to demand better tech and a better world. Follow the podcast (@techwontsaveus) and host Paris Marx (@parismarx) on Twitter, and support the show on Patreon. The podcast is produced by Eric Wickham and part of the Harbinger Media Network.  Also mentioned in this episode:Emily was one of the co-authors on the “On the Dangers of Stochastic Parrots” paper and co-wrote the “Octopus Paper” with Alexander Koller. She was also recently profiled in New York Magazine and has written about why policymakers shouldn't fall for the AI hype.The Future of Life Institute put out the “Pause Giant AI Experiments” letter and the authors of the “Stochastic Parrots” paper responded through DAIR Institute.Zachary Loeb has written about Joseph Weizenbaum and the ELIZA chatbot.Leslie Kay Jones has researched how Black women use and experience social media.As generative AI is rolled out, many tech companies are firing their AI ethics teams.Emily points to Algorithmic Justice League and AI Incident Database.Deborah Raji wrote about data and systemic racism for MIT Tech Review.Books mentioned: Weapons of Math Destruction by Cathy O'Neil, Algorithms of Oppression by Safiya Noble, The Age of Surveillance Capitalism by Shoshana Zuboff, Race After Technology by Ruha Benjamin, Ghost Work by Mary L Gray & Siddharth Suri, Artificial Unintelligence by Meredith Broussard, Design Justice by Sasha Costanza-Chock, Data Conscience: Algorithmic S1ege on our Hum4n1ty by Brandeis Marshall.Support the show

Our guest is Cathy O'Neil, author of Weapons of Math Destruction: how big data increases inequality and threatens democracy.Cathy joined us to discuss critical aspects for auditors to consider, including:The human element: why understanding 'for whom an algorithm might fail' is more important than the detailed technical design of an algorithm.Algorithm testing: the importance of post-deployment testing to ensure there are no unintended adverse outcomes. Setting standards: the need for industry-wide standards so that regulators can ensure there is no bias or discrimination in how algorithms operate. Laggers and leaders: the four big industries/domains using algorithms that need to step up audit in their space and how law-makers and regulators are catching up.Emerging AI, e.g. language models/chatbots - why trust by users is key, and the pros and cons of using these models.LinksCathy's company, ORCAA Weapons of Math Destruction (book)  This episode's web page: https://www.riskinsights.com.au/podcast/the-assurance-show-64/About this podcast The podcast for performance auditors and internal auditors that focuses on data & risk. Hosted by Conor McGarrity and Yusuf Moolla. Produced by Risk Insights (riskinsights.com.au). 

We talked about: Dania's background Founding the AI Guild Datalift Summit Coming up with meetup topics Diversity in Berlin Other types of diversity besides gender The pitfalls of lacking diversity Creating an environment where people can safely share their experiences How the AI Guild helps organizations become more diverse How the AI guild finds women in the fields of AI and data science Advice for people in underrepresented groups Organizing a welcoming environment and creating a code of conduct AI Guild's consulting work and community AI Guild team Dania's resource recommendations Upcoming Datalift Summit Links: Call for Speakers for the #datalift summit (Berlin, 14 to 16 June 2023): https://eu1.hubs.ly/H02RXvX0 Coded Bias documentary on Netflix: https://www.netflix.com/de/title/81328723#:~:text=This%20documentary%20investigates%20the%20bias,flaws%20in%20facial%20recognition%20technology. Book Weapons of Math Destruction by Cathy O'Neil: https://en.wikipedia.org/wiki/Weapons_of_Math_Destruction Book Lean In by Sheryl Sandberg: https://en.wikipedia.org/wiki/Lean_In Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

If surveillance capitalism permeates all of modern society, how on earth can we step back to think critically about what it may be doing to us? In this episode we think through more of the implications of living in a non-private digital village in the 21st century, but is privacy even a Christian virtue in the first place? We also ponder the implications of the more deceptive and destructive aspects of addictive digital technologies and think through some initial efforts believers have made to carve out space for family time and spirituality in our disembodied always-on world. Some extra reading: Surveillance capitalism: the hidden costs of the digital revolution, Jonathan Ebsworth, Samuel Johns, Michael Dodson, Cambridge Papers June 2021 The Question of Surveillance Capitalism, Nathan Mladin and Stephen Williams, in The Robot will see you Now: Artificial Intelligence and the Christian Faith, ed John Wyatt and Stephen Williams, SPCK, 2021 The Age of Surveillance Capitalism, Shoshana Zuboff, Profile Books, 2019 Atlas of AI: Power politics and the planetary costs of artificial intelligence, Kate Crawford, Yale University Press, 2021 Irresistible: The rise of addictive technology and the business of keeping us hooked, Adam Alter, Penguin, 2017 Hooked: how to build habit forming products, Nir Eyal, Penguin, 2019 Weapons of Math Destruction, Cathy O'Neil, Penguin, 2017 Subscribe to the Matters of Life and Death podcast: https://pod.link/1509923173 If you want to go deeper into some of the topics we discuss, visit John's website: http://www.johnwyatt.com For more resources to help you explore faith and the big questions, visit: http://www.premierunbelievable.com

Every tap, swipe and click we make on our phones, tablets and laptops is being recorded by big tech firms. This is often called surveillance capitalism – a network of products and services we use every day which sucks up large quantities of data about us and then sells it on to advertisers at huge profits. It's garnering increasing concern from citizens and regulators around the world, but should we care as Christians? What impact is this system having on once flourishing industries such as journalism or bookselling, let alone on us as human beings? And why have tech companies made their products so addictively hard to put down and stop tapping, swiping and clicking? Some extra reading... Surveillance capitalism: the hidden costs of the digital revolution, Jonathan Ebsworth, Samuel Johns, Michael Dodson, Cambridge Papers June 2021 The Question of Surveillance Capitalism, Nathan Mladin and Stephen Williams, in The Robot will see you Now: Artificial Intelligence and the Christian Faith, ed John Wyatt and Stephen Williams, SPCK, 2021 The Age of Surveillance Capitalism, Shoshana Zuboff, Profile Books, 2019 Atlas of AI: Power politics and the planetary costs of artificial intelligence, Kate Crawford, Yale University Press, 2021 Irresistible: The rise of addictive technology and the business of keeping us hooked, Adam Alter, Penguin, 2017 Hooked: how to build habit forming products, Nir Eyal, Penguin, 2019 Weapons of Math Destruction, Cathy O'Neil, Penguin, 2017 Subscribe to the Matters of Life and Death podcast: https://pod.link/1509923173 If you want to go deeper into some of the topics we discuss, visit John's website: http://www.johnwyatt.com For more resources to help you explore faith and the big questions, visit: http://www.premierunbelievable.com  

Welcome back to season two of the Data Feminism Network podcast. This season, we will be sharing some of our favourite data feminism books with you, to give you a foundation of literature to explore how algorithms and data can exacerbate inequality. In this episode, Mycala and Jade discuss Weapons of Math Destruction by Cathy O'Neil. We unpack examples where algorithms yield unfair, inequitable results, from prison sentencing to university and teacher ratings. If you enjoyed this episode, register for our upcoming Weapons of Math Destruction book club! Register here for Monday March 6, 9am PST / 12pm EST Register here for Tuesday March 7, 5:30pm PST / 8:30pm EST We also encourage you to support the author by purchasing the book - use our FREE study guide as a supporting resource to help you absorb key themes and concepts. To listen to another podcast which features Cathy O'Neil referenced by Jade in this episode, click here.  Check out Cathy O Neil's website here. 

Dr. O'Neil earned her bachelor's degree from UC Berkeley and received her Ph.D. from Harvard in mathematics. She spent the early part of her career teaching at MIT and Barnard but eventually left for the private sector. After a few years as a finance professional, she eventually became disillusioned with the industry and would eventually join the Occupy Wall Street movement. She is a regular contributor to Bloomberg and is the author of "The Shame Machine," "Doing Data Science," and "Weapons of Math Destruction"; which all explore the negative impacts data analytics and algorithms have on society. Dr. O'Neil joined us in discussing how big data and the use of algorithms became more common in everyday life, how their use creates negative externalities with socioeconomic repercussions, and what caused her dislike of the finance industry.

The COVID-19 pandemic forced pharmacovigilance experts to revisit their processes to deal with unprecedented volumes of data and catch unexpected safety issues. Elena Rocca from Oslo Metropolitan University reviews the challenges of a global healthcare emergency – and what it can teach us about the science of drug safety.Tune in to find out:How to handle uncertain evidenceWhy clinical expertise matters in the age of big dataWhy pharmacovigilance requires interdisciplinary thinking Want to know more?In the article that inspired this episode, Elena Rocca and Birgitta Grundmark describe the practical, conceptual, and ethical challenges pharmacovigilance experts were faced with during the pandemic. See also this review by Annette Rudolph and colleagues at Uppsala Monitoring Centre on the unique challenges of a global vaccination campaign.Elena's reflections on big data pharmacovigilance and its ethical implications were inspired by Sabina Leonelli's work on big data biology and mathematician Cathy O'Neil's Weapons of Math Destruction.The CauseHealth Pharmacovigilance project, a collaboration between UMC and the NMBU Centre for Applied Philosophy of Science in Norway, ran between 2018 and 2021.For more philosophical inspiration, revisit this interview with Eugene van Puijenbroek on intuition in pharmacovigilance or this Uppsala Reports Long Read on new approaches to causality.Join the conversation on social mediaFollow us on Twitter, Facebook or LinkedIn and share your thoughts about the show with the hashtag #DrugSafetyMatters.Got a story to share?We're always looking for new content and interesting people to interview. If you have a great idea for a show, get in touch!About UMCRead more about Uppsala Monitoring Centre and how we work to advance medicines safety.

We've got Sarah Lamdan on to talk about her new book Data Cartels: The Companies That Control and Monopolize Our Information! We talk about government contracting to third party data companies, legal loopholes, the connection to academic publishing and metrics, and the stranglehold the corporate duopoly has over access to US law by lawyers, citizens, and prisoners. Justin also advances his theory that academic journals are just podcasts.    https://twitter.com/greenarchives1  Data Cartels: The Companies That Control and Monopolize Our Information | Sarah Lamdan Librarianship at the Crossroads of ICE Surveillance S3 Ep2 – Knowledge Equity Lab Media mentioned Fact Sheet: New Records Provide Details on ICE's Mass Use of LexisNexis Accurint to Surveil Immigrants - Community Resource Hub Weapons of Math Destruction by Cathy O'Neil: 9780553418835 | PenguinRandomHouse.com: Books  Algorithms of Oppression https://twitter.com/JailLawSpeak https://libraryjuiceacademy.com/shop/course/317-zotero-for-librarians/?attribute_pa_session=2023-03-mar

By the varied nature of everything that falls under the umbrella of Developer Relations, it can be difficult to get down to the trends and movements of everything we do. Add to that the bespoke nature of many DevRel programs, and we really need to work to discover what's happening in the world we live and work in. Fortunately, a survey was done, and in this episode we will discover some of the results and find out a bit of the why we do what we do when we say we do DevRel. Checkouts Caroline Lewko * Five Little Indians (https://www.goodreads.com/en/book/show/52214103) by Michelle Good * 2022 Survey and previous survey (available at www.Stateofdeveloperrelations.com) Jason Hand * No Code Micro Workshop (https://jhand.co/nocode) * Four Thousand Weeks: Time Management for Mortals (https://www.amazon.com/Four-Thousand-Weeks-Management-Mortals/dp/B08XZY5ZF7/ref=sr_1_1?crid=2DQK78HTQFNLF&keywords=4%2C000+weeks&qid=1663342995&sprefix=4%2C000+weeks%2Caps%2C116&sr=8-1) by Oliver Burkeman Wesley Faulkner * SXSW (https://www.sxsw.com/) * Neurodiversity in DevRel (https://www.polywork.com/clubs/neurodiversity-in-devrel) PJ Hagerty * 23rd Anniversary of the American Football self-titled LP (https://www.amazon.com/music/player/albums/B000X5KLRO?_encoding=UTF8&qid=&sr=) - great emo/proto-mathrock album * Weapons of Math Destruction (https://www.amazon.com/Weapons-Math-Destruction-Increases-Inequality/dp/0553418815) by Cathy O'Neil * Kings Highwaymen (https://www.instagram.com/kingshwymenwny/) Artwork photo by Алекс Арцибашев (https://unsplash.com/@lxrcbsv?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on Unsplash (https://unsplash.com/@lxrcbsv?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) Enjoy the podcast? Please take a few moments to leave us a review on iTunes (https://itunes.apple.com/us/podcast/community-pulse/id1218368182?mt=2) and follow us on Spotify (https://open.spotify.com/show/3I7g5WfMSgpWu38zZMjet?si=565TMb81SaWwrJYbAIeOxQ), or leave a review on one of the other many podcasting sites that we're on! Your support means a lot to us and helps us continue to produce episodes every month. Like all things Community, this too takes a village. Special Guest: Caroline Lewko.

In the final part of our Ep 200 special, The Bad Guys fight Folton's children and try to stay ahead in order to steal a weapon of unequalled power! You can help us grow and get exclusive bonus content by visiting The Danger Club Patreon! Follow us on Facebook, Twitter, Instagram, YouTube, Twitch and Discord! Music thanks to: Kevin Macleod, Arvid Svenungsson, and Ross Bugden.

In this episode of Partnering Leadership, Mahan Tavakoli speaks with Azeem Azhar - writer, technology analyst, and creator of the acclaimed Exponential View newsletter. Azeem Azhar is a senior advisor to PwC and is an investor in early-stage startups in AI, renewable energy, female health tech, self-driving cars, and marketplaces.In the conversation, Azeem Azhar shared perspectives from his book The Exponential Age: How Accelerating Technology is Transforming Business, Politics, and Society. Azeem shared how our societies and ways of life will change due to exponential technologies, why it's essential to understand the exponential changes better ahead, and how to thrive through the many changes ahead.Some highlights:- Azeem Azhar explained the impacts of technology on society, politics, and business- Why many people find it hard to understand and keep up with the pace of technological change- Understanding exponential growth and its potential impact on all aspects of life- The rise of AI, automation, and other exponential technologies, such as renewable energy, 3D printing, and synthetic biology- The impact of old tech regulations and approaches in a new digital world - How leaders can effectively lead through exponential change- The dilemma of understanding technology in policymakingAlso mentioned in this episode:- The Exponential Age: How Accelerating Technology is Transforming Business, Politics and Society by Azeem Azhar- Weapons of Math Destruction by Cathy O'Neil- Invisible Women by Caroline Criado Perez- The innovator's dilemma by Clayton Christensen- Brave New World by Aldous HuxleyConnect with Azeem Azhar:Exponential View Official WebsiteAzeem Azhar on TwitterAzeem Azhar on LinkedInConnect with Mahan Tavakoli:MahanTavakoli.comMore information and resources available at the Partnering Leadership Podcast website: PartneringLeadership.com

We hope you enjoy today's show. If you do, could vote for us in the People's Choice Podcast Award? It doesn't take long to cast your vote and it would really mean a lot to both Ryan and I. Thanks very much. Cheers!   To vote, please click here.   Artificial Intelligence (AI) is an incredible technology with potential to shape the future of humanity. However, it is fundamentally flawed. Who messes it up? That's right, human programmers.    The common misconception is that AI is a pure technological brain built from scratch without the risk of human influence. The truth is the program is incapable of performing tasks beyond the boundaries of the specific situations for which the algorithms were designed.   Take the basic linear regression formula: y = mx + b. This simple equation is a program to figure out the output or “Y” by means of the input “B” through the algorithm “mx.” All that an AI is doing can be summarized at a basic level in this equation. It is finding an output from an input using a fundamental algorithm. Since the AI is simply doing the math, the algorithm is the most important part of any AI.    Understanding these principles, it is apparent what really matters in AI construction is the importance put upon the inputs in the coding process. Currently, AI is not capable of making these decisions; only human coders have that power.    In this episode, we talk about today's AI and its flaws with our guest Broderick Turner, Ph.D., Assistant Professor of Marketing at Virginia Tech., and founder of TRAP LAB (Technology Race and Prejudice LAB). We explore the inherent biases built into programmers' decisions when making AI's—and the ridiculousness of a robot uprising with the technology we have today.    So, What's AI Good for Then?   Many of us perceive AI as mysterious as a magic trick. However,  in reality, AI is a series of algorithms. In other words, AI is merely the means of producing an output from an input based upon the algorithm put in place by the programmer. Therefore, AI tends to work best when the inputs are limited.    Here are a few key moments in the discussion:   03:46 Dr. Turner introduces “Weapons of Math Destruction”, the concept that AIs are merely opinions written in code, and what that means for AI. 05:30 We discuss the absurdity of the idea of an AI takeover and why this would be impossible with our current technology. 09:32 Ryan asks Dr. Turner to explain what scenarios AI is good for and we discuss some of the most successful AI products in the modern world. 13:09 Dr. Turner discusses his own private research including how AI is used in conjunction with YouTube thumbnails to determine optimization for view counts for advertisers. 17:12 We discuss how AI is used to determine which thumbnails will be the default based upon data collected through user trials and how AI is effective in this field. We then discuss how AI audits are conducted in these scenarios. 26:28 We discuss the results of the audits conducted by Dr. Turner and what this means about the user groups of the sites tested. 32:40 Dr. Turner discusses the racial and gender biases found in websites like Twitter and how the algorithms the sites use affect them.     Please tell us how we are doing! Complete this short survey.    Customer Experience Information & Resources   LinkedIn recognizes Colin Shaw as one of the 'World's Top 150 Business Influencers.' As a result, he has 290,000 followers of his work. Shaw is Founder and CEO of Beyond Philosophy LLC, which helps organizations unlock growth by discovering customers' hidden, unmet needs that drive value ($). The Financial Times selected Beyond Philosophy as one of the best management consultancies for the last four years in a row. Follow Colin on LinkedIn and Twitter.   Click here to learn more about Professor Ryan Hamilton of Emory University.    Why Customers Buy: As an official "Influencer" on LinkedIn, Colin writes a regular newsletter on all things Customer Experience. Click here to join the other 35,000 subscribers.      How can we help? Click here to learn more about Beyond Philosophy's Suite of Services.

Everyone's feeling the insidious effects of both inflation and a down stock market. But most financial advisors tell you to stay in the market and promise it will bounce back.  Is that the truth?  Well, it's more complicated than that because we're set up for failure in the stock market.  In this episode, you'll discover how Wall Street sets you up for failure, how you can make 8% returns (and still lose money), and a better way to grow your wealth.  Listen now.  Show highlights include:  How the stock market brings up the same emotions and stress as being trapped in an abusive relationship (1:18)  The counterintuitive reason you choose to gamble more when you could lose it (and how this affects your stock market portfolio) (7:22)  The psychological “Loss Aversion” quirk which devours your wealth (especially in inflationary times) (13:23)  Why investing in the stock market to protect your wealth from inflation could actually make inflation skyrocket (16:22) How you can make 8% returns in the stock market (and still lose money) (18:41)  The “Stability Secret” for maximizing your wealth (without overwhelming yourself with money worries) (33:50)  How sales and marketing pros prey on your cognitive biases and exploit your wealth (38:37)  Remember to download Grandma's Top Tips for an Independent Financial Future by dropping into https://grandmaswealthwisdom.com/free/. It's time for YOU to break through to a smart, stable, financial future. If you'd like to see how Grandma's timeless wealth strategies can work in your life, schedule your free 15-minute coffee chat with us by visiting www.grandmaswealthwisdom.com/call ... just like Grandma would want us to do.  Links mentioned on the show: Watch on YouTube here: https://youtu.be/skQiiKjLPWA  https://rooseveltinstitute.org/wp-content/uploads/2022/06/RI_PricesProfitsPower_202206.pdf  http://grandmaswealthwisdom.com/call

A woman with literally no water signs in her astrological chart through Pluto, Claire Rufin, joins me to throw away any chances I had at getting sponsored by BetterHelp! I'm working through a lot of my own understanding on the subjects in this episode, including how a CEO who is presumably worth millions of dollars would take to Reddit to address a complaints lobbied by a Youtuber named Memeology 101. Anyways, this episode is about privacy, employees' rights, and big data. I could not have formed my understanding on these subjects without Cathy O'Neill's Weapons of Math Destruction: AWESOME book! But yeah, I think this is a unique take on BetterHelp. Claire was great on this podcast, @claireannalee is her instagram, I'm cracking open a daiquiri with a paper straw in her honor tonight. Weapons of Math Destruction, Cathy O'Neill 2016 How Corinthian Colleges, a for-profit behemoth, suddenly imploded, Lance Williams, Reveal News Sep 2016 Are Workplace Personality Tests Fair?, Lauren Weber and Elizabeth Dwoskin, WSJ 2014 When Your Boss Makes You Pay for Being Fat, Leslie Kwoh, WSJ 2013 At Talkspace, Start-Up Culture Collides With Mental Health Concerns, Kashmir Hill and Aaron Krolik, NYT Aug 2020 Eat the Rich episode 90: Online Therapy Platforms https://jezebel.com/the-spooky-loosely-regulated-world-of-online-therapy-1841791137 https://foundation.mozilla.org/en/privacynotincluded/betterhelp/ https://www.polygon.com/2018/10/4/17932862/betterhelp-app-youtube-sponsorship-controversy-explained https://pitchbook.com/profiles/investor/461812-87#overview https://medium.com/@alonmatas/when-betterhelp-found-itself-in-a-youtube-controversy-3fd472229a4e https://www.betterhelp.com/privacy/ https://12ft.io/proxy?q=https%3A%2F%2Fwww.rollingstone.com%2Fculture%2Fculture-features%2Fbetterhealth-app-astroworld-travis-scott-1255876%2F https://www.betterhelporg.com/ ("Robust Reporting")

Jenn and special guest and librarian Emily Pullen dig into reading recommendation algorithms, how they work (and don't work), and what it means for our Get Booked experiment in this bonus episode. This content contains affiliate links. When you buy through these links, we may earn an affiliate commission. LINKS AND BOOKS NoveList StoryGraph Weapons of Math Destruction by Cathy O'Neil What We Do We Do in the Dark by Michelle Hart Solito by Javier Zamora Learn more about your ad choices. Visit megaphone.fm/adchoices

Show Notes(02:18) Merav talked about her undergraduate experience at McGill University studying Psychology and Sociology.(04:33) Merav discussed important attributes of an exceptional teacher given her two years teaching elementary special education in NYC public schools through the Teach For America program.(08:19) Merav commented on her time working at the International Baccalaureate Organization and working as a Kaplan GRE instructor.(10:57) Merav shared the backstory behind the founding of Data Society, a predictive analytics training and consulting company (co-founded with Dmitri Adler and John Nader).(14:15) Merav reflected on her journey into programming.(17:16) Merav explained why data science training should be industry-tailored for maximum success.(20:57) Merav talked about how Data Society creates and evaluates its training curriculum.(23:59) Merav provided an example of how Data Society provides customized AI solutions to inform decisions, automate time-consuming manual processes, and solve complex data challenges for its clients.(27:38) Merav brought up challenges that hinder the adoption of data science in the government sector.(29:49) Merav unpacked the six different steps for organizations to start moving up the data analytics maturity model.(33:07) Merav dissected meldR, Data Society's internal product built for Learning and Development teams in healthcare.(36:24) Merav reflected on bootstrapping Data Society in the early days (look at this 2016 Kickstarter campaign).(39:48) Merav discussed the shift from a B2C to a B2B model for Data Society and scoring partnerships with Fortune 500 companies and federal agencies.(42:47) Merav shared valuable hiring lessons to attract the right people who are excited about the mission of Data Society.(45:22) Merav shared her experience shaping the remote work culture.(49:05) Merav touched on initiatives at Data Society to bring more goodness to the world.(50:28) Merav provided different ways to engage more women in data science (via the Women Data Scientists DC Meetup and DCFemTech).(53:17) Merav predicted the evolution of education in the next 3 to 5 years.(55:29) Closing segment.Merav's Contact InfoLinkedInTwitterData Society's ResourcesWebsiteTwitterLinkedInMentioned ContentArticles“Is Your Enterprise Data-Driven?” (May 2021)“Why Data Science Training Should Be Industry-Tailored for Maximum Success” (August 2021)“Female Founders: Merav Yuravlivker of Data Society On The Five Things You Need To Thrive and Succeed as a Woman Founder” (Sep 2021)PeopleDJ Patil (The first Chief Data Scientist of the US)Hilary Mason (Co-Founder of Hidden Door)Avriel Epps-Darling (Ph.D. candidate, Ford fellow, and Presidential Scholar at Harvard University)BookWeapons of Math Destruction (by Cathy O'Neil)NotesMy conversation with Merav was recorded back in December 2021. Since then, many things have happened at Data Society. I'd recommend:Reading Merav's articles on Forbes about creating a culture of data sharing, assessing data literacy, and communication in the learning process.Reading Data Society's white papers about data science in research and data science in healthcare.Checking out the Camelsback product for risk assessment in financial services.Trying out the Data DNA assessment tool for organizations' data maturity.Finally, Merav was also just recognized as one of the DC region's 40 Under 40. The awards are given annually to recognize the outstanding achievements of young leaders in the Washington, DC, area who lead the community forward through hard work, philanthropy, and community engagement.

In this Friday Wrap Up episode, Daniel discusses some of the big highlights from tech, business and Web3 from recent headlines.   https://arstechnica.com/tech-policy/2022/05/judge-rules-every-isp-in-us-must-block-pirate-sites-run-by-mysterious-defendants/   https://gizmodo.com/linkedin-fined-1-8m-for-paying-women-less-than-men-1848878670   https://www.reuters.com/world/us/white-house-boost-support-quantum-technology-while-boosting-cybersecurity-2022-05-04/?utm_source=reddit.com   https://coinfomania.com/vitalik-buterin-eth-layer-2-fees-must-get-to-0-05-to-be-acceptable/   ******~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~  

Diversity, Equity, and Inclusion (DEI) have been the buzz phrase in the last few years. Today, my guest addresses how this concept plays out in product development and management. Dr. Dédé Tetsubayashi, Founder & CEO of incluu, is an Ethical Technologist and Social Scientist. She synergizes her lived experience as a Black queer woman with an invisible disability with her over 20 years of experience in ethical tech, product equity & inclusion as a catalyst for creating brave spaces and products for all. Her work empowers individuals and organizations committed to investing in equitable and accessible product development and design processes, unlocking their full potential in their products, people, and practices.In our conversation, Dédé pulls back the curtain on what building products for equitable outcomes and non-discrimination means and why she founded her business, incluu. We dive into some fascinating topics such as:How straddling multiple identities played a role in shaping Dédé's future and ultimate career choices.Why relationship building and intentional curiosity are crucial in building a culture of inclusivity.How the Incluu team helps companies and their teams understand their circles of influence and why it's essential to increase those circles.Bridging the gap between technology, justice, and ethics.The biggest challenge facing leaders today is fear and functioning from a place of fear of the unknown.Why a leader needs to hold strong beliefs loosely that will enable them to have a transparent dialogue. Why do leaders need to be aware of their knowledge gaps and understand when it's time to ask for help.Dédé recommends two books that offer a deeper dive into how high tech tools profile, police, and punish the poor and reinforce the inequality in our society: Automating Inequality by Virginia Eubanks and Weapons of Math Destruction by Cathy O'Neil.Connect with Dédé at www.incluu.us and tune into her podcast Brave Spaces Roundtable to learn more about the work that Dédé and her team do.If you found the conversation helpful, subscribe to the podcast, so you don't miss any future episodes.Connect with your host, Kele:Instagram: https://www.instagram.com/thetailoredapproach/Website: https://thetailoredapproach.com 

In this episode, I'm chatting with Rachel Person, events manager at Northshire Bookstore in Saratoga Springs, New York.Northshire Bookstore has two locations, Manchester, Vermont, and Saratoga Springs, New York. They were founded in 1976 by Edward and Barbara Morrow, who recently sold to Clark and Lu French, also of Manchester.Rachel Person is the events manager for Northshire Bookstore. She spent six years curating and producing literary programming at Symphony Space in New York City, and served as Associate Director of the series Selected Shorts: A Celebration of the Short Story, heard nationwide on public radio. In Saratoga Springs, Rachel served in the Community Relations Office at Skidmore College, where she acted as Art Partner Liaison for SaratogaArtsFest. She is on the Executive Board of Saratoga Reads and the Board of Directors of the Adirondack Center for Writing. A graduate of Albany High School and Princeton University, Rachel lives in Saratoga Springs with her husband, writer Steve Sheinkin, and their two children. Northshire BookstoreThe Book of Delights, Ross Gay The Bright Ages, Matthew Gabriele, David M. Perry Next Year in Havana, Chanel CleetonTwelve Ceasars, Mary Breard  Sellout: The Major Label Feeding Frenzy That Swept Punk, Emo and Hardore, Dan Ozzi  The Melancholia of Class, by Cynthia Cruz If This Bird Had Pockets, Amy Ludwig VanDerwater, Emma J. Virjan Book Lovers, Emily Henry Atlas Six, Olivie BlakeDon't Check Out This Book, Kate KliseLapvona, Ottessa Moshfegh When I'm Gone Look for Me in the East, Quan BarryA Shape in the Dark: Living and Dying with Brown Bears, Bjorn DihleManhunt, Gretchen Felker-MartinOrfeo, Richard PowersMercy Street, Jennifer HaighThe Spider, Leo CarewWeapons of Math Destruction, Cathy O'NeilThe Night Watchman, Louise Erdrich On the Laps of Gods, Robert WhitakerWhat Doesn't Kill You, Tessa Miller City of Dusk, Tara Sim Steve Sheinkin, authorSupport the show

(Recorded December 03, 2016) This Week: Adrian's away, but we have a book club discussion with the author of Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.

Cathy O'Neil is a mathematician, data scientist, and author. She's written books on data science, including the New York Times best-seller Weapons of Math Destruction, which is an influential source for the Human-Centered Artificial Intelligence community—and where I first started following her work. She's now the author of The Shame Machine: Who Profits in the New Age of Humiliation, which just came out a week or two back, and I'm excited to talk to her all about it, including what exactly a shame machine is, what's the difference between punching up and punching down, and even if shame can be a good think and lead to societal growth. As always, we welcome your feedback. Please make sure to subscribe, rate, and review on Apple Podcasts, Spotify, Stitcher, and Google Play - and make sure to follow us on Facebook and LinkedIn!

NPR/PBS's Steve Mencher took in so much of SXSW he simply must offload some of it to us. Steve's festival strategy did not include pacing himself. Steve saw films, heard talks and attended concerts by Dolly Parton, Ron Howard, Willie Nelson, Sheryl Crow, Gabby Giffords, Magic Johnson, Richard Linklater, and beyond. He returned with photos and interviews and the scoop on all of the wonderful media we are all about to enjoy this year including: Apollo 10 1/2, Run, Rose, Run, Mama Bears, Jazz Fest: A New Orleans Story, They Call Me Magic, Sheryl, Gabby Giffords Won't Back Down, We Feed People, and Bad Axe. Cozy up to your blue tooth streaming device of choice for a vicarious journey to SXSW.Path Points of Interest:Steve Mencher on TwitterSXSWSXSW on TwitterSteve Mencher's Film - The Codex: Leonardo da Vinci Meets Bill Gates Steve Mencher's PBS Series, Beyond BeliefSteve Mencher's Podcast, Living DownstreamDolly Parton's Book, Run, Rose RunRun, Rose, Run AlbumDollyverse and NFTsDolly Parton's America PodcastMama BearsGabby Giffords: Won't Back DownFrances HaugenAlexis McGill Johnson - Planned ParenthoodMaria Ressa Weapons of Math Destruction by Cathy O'NeilJazz Fest: A New Orleans Story  Sheryl Crow DocumentaryThey Call Me Magic Apollo 10 ½: A Space Age ChildhoodWe Feed People – Jose Andres World Central KitchenBad AxeWillie NelsonIt's a Long Story by Willie Nelson

Cathy O'Neil is the author of the bestselling book Weapons of Math Destruction. Her new book is The Shame Machine: Who Profits in the New Age of Humiliation. O'Neil explains the power of shame and how in today's society it is amplified in potentially dangerous and life altering ways by algorithms, social media companies, and big data. She also details the often contradictory and nonsensical relationship between so-called “cancel culture” and shame. O'Neil also explores the complex dynamics at work surrounding questions of public shaming, resistance, white privilege, white supremacy and the so-called “Karen” and “Barbecue Becky” phenomenon. WHERE CAN YOU FIND ME? On Twitter: https://twitter.com/chaunceydevega On Facebook: https://www.facebook.com/chauncey.devega My email: chaunceydevega@gmail.com HOW CAN YOU SUPPORT THE TRUTH REPORT? Patreon at https://www.patreon.com/TheTruthReportPodcast Via Paypal at ChaunceyDeVega.com Music at the end of this week's episode of The Truth Report is by JC Brooks & the Uptown Sound. You can listen to some of their great music on Spotify.

Cathy O'Neil - a veteran of both Wall Street and Occupy Wall Street - joins me to discuss her new book, https://bookshop.org/a/82618/9781984825452 (The Shame Machine). We discuss her previous book, https://bookshop.org/a/82618/9780553418835 (Weapons of Math Destruction), how it led her to The Shame Machine, and how shame has become an invisible currency sustaining capitalism's most exploitative practices. Cathy outlines how social media "cancellations" are just free advertisements for social media companies, while the oligarchs and meritocrats who truly deserve to be shamed not only don't get shamed but also manage to profit off the shame everyone else is feeling. I don't think you'll ever view the relationship between corporations and shame the same way after you hear Cathy's analysis. As always, you can find me at https://my.captivate.fm/www.everydayanarchism.com (www.everydayanarchism.com).

Shame is everywhere. From advertising to the dinner table, and on every last inch of social media. To examine the origin and effect of this reality, we've invited Cathy O'Neil to join us this week. Cathy is the author of the bestselling Weapons of Math Destruction, which won the Euler Book Prize and was longlisted for the National Book Award. She received her PhD in mathematics from Harvard and has worked in finance, tech, and academia. Her new book The Shame Machine: Who Profits in the New Age of Humiliation is now available. --- Send in a voice message: https://anchor.fm/alyssa-milano-sorry-not-sorry/message

In the fourth episode of Tech Mirror, Johanna is joined by Justin Warren, Chair of Electronic Frontiers Australia. The pair discuss live issues in tech policy design, from bizarre Internet advertising to privacy and surveillance, to protecting liberal democracy. Justin walks through why we didn't have to build our Internet and tech systems the way we did, and how we can design something better. This episode was produced by Jack Fox. Ben Gowdie provided invaluable research support. Send us your questions: techpolicydeisgncentre@anu.edu.au Follow us on Twitter: @TPDesignCentre Relevant Links: Programmed Inequality by Marie Hicks https://www.goodreads.com/book/show/32078427-programmed-inequality Algorithms of Oppression by Safiya Umoja Noble https://www.goodreads.com/book/show/34762552-algorithms-of-oppression Weapons of Math Destruction by Cathy O'Neil https://www.goodreads.com/book/show/28186015-weapons-of-math-destruction Future Histories by Lizzie O'Shea https://www.goodreads.com/book/show/43560857-future-histories @SwiftOnSecurity

Derek Bruce on the importance of storytelling at work, and sneakers in life If we want to be successful at work in the future, we all need to learn how to tell good stories, says Derek Bruce. He is an HR and talent-development senior, who has been working all over the world with market leading global organizations in the Fashion, Financial Services, Media, Retail and Technology industries. At this moment, he works for Signify as a Director of Leadership Development, as an independent learning and development consultant, ánd he manages the Extraordinary Mentors Network, a mentorship program which provides People of Colour with Mentors. Derek met Roanne in the beautiful Amsterdam SOHO house to share his views on work and leadership of the future. In the episode, we talk about: - Why we all need to become storytellers in order to be successful at work - How writing can help you to communicate better to your colleagues (and boss!) - Why sometimes, the best thing you can do for your company, is refuse that job - Why the best leaders, are selfless leaders… - And the boss-like, very green, very cool shoes that he is wearing. Obviously. Roanne mentions the book ‘Weapons of Math Destruction', by Cathy O'Neil: https://www.amazon.com/Weapons-Math-Destruction-Increases-Inequality/dp/0553418815 Derek tips the ‘10% happier podcast': https://www.tenpercent.com/podcast/ Find more information on Derek: LinkedIn -> https://www.linkedin.com/in/derekbruce Instagram ->https://www.instagram.com/derekbruceassociates Twitter -> https://twitter.com/derekbruceassoc

Adam and Jason learn about how algorithms affect people in the everyday lives in very destructive ways as well as some ways to disarm them and how to use models for good.

On this week's episode, Alina Utrata talks to Stefanie Felsberger, a PhD in Gender Studies at Cambridge University, and Muskan Shafat, an MS in Data and Society at the London School of Economics, about gender and technology. They discuss the myth of neutral tech, how technology is embedded in systems of oppression, why using a dishwasher isn't considered “technological innovation” and whether some AI is just machine learning for eugenics. You can follow Stefanie Felsberger on Twitter @Flsbrgr, Muskan Shafat @muskanmaraz, Alina Utrata @alinautrata and the Anti-Dystopians podcast on Twitter @AntiDystopians. Or sign up for the AD email newsletter: bit.ly/3kuGM5XAll episodes of the Anti-Dystopians are hosted and produced by Alina Utrata, and are freely available to all listeners. To support the production to the show, visit: bit.ly/3AApPN4Books mentioned in the podcast:Race After Technology by Ruha BenjaminAlgorithms of Oppression by Safiya NobleProgrammed Inequality by Mar HicksWeapons of Math Destruction by Cathy O'NeillWhat Tech Calls Thinking by Adrian DaubNowhere Land by Kevin MacLeodLink: https://incompetech.filmmusic.io/song/4148-nowhere-landLicense: http://creativecommons.org/licenses/by/4.0/ Hosted on Acast. See acast.com/privacy for more information.

This interview was recorded at GOTO Berlin 2019 for GOTO Unscripted.https://gotopia.techRead the full transcription of this interview here:https://gotopia.tech/articles/software-development-brainsFahran Wallace - Senior Consultant at OpenCredoBenjamin Mitchell - Director of Engineering at KevelPreben Thorø - CTO of Trifork SwitzerlandDESCRIPTIONOur brains empower us to run complicated software development programs, but can also be the thing that prevents us from achieving the best possible results due to several psychological biases. Fahran Wallace, senior consultant at OpenCredo, and Benjamin Mitchell, director of engineering at Kevel, discuss those psychological biases at work, how we can tackle them and how we can wire the brain to overcome them.RECOMMENDED BOOKSFabio Pereira • Digital Nudge • https://amzn.to/3yhxJu9Daniel Kahneman • Thinking, Fast and Slow • https://amzn.to/2XmJEtfThaler & Sunstein • Nudge • https://amzn.to/3CglrmXDan Ariely • Predictably Irrational • https://amzn.to/3lyDBd7Robert B Cialdini • Influence, New and Expanded • https://amzn.to/3tL8GxBCathy O'Neil • Weapons of Math Destruction • https://amzn.to/3EO8Bi7Nir Eyal • Indistractable • https://amzn.to/3EE3Pn9Eckhart Tolle • The Power of Now • https://amzn.to/39yjS7rLinda Rising • Design Patterns in Communications Software • https://amzn.to/2XsxDCgLinda Rising • The Pattern Almanac 2000 • https://amzn.to/3kfgIfiLinda Rising • The Patterns Handbook • https://amzn.to/3lxDPASLinda Rising • Fearless Change • https://amzn.to/3AfvyrKLinda Rising • More Fearless Change • https://amzn.to/2Z3bYBhhttps://twitter.com/GOTOconhttps://www.linkedin.com/company/goto-https://www.facebook.com/GOTOConferencesLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket at https://gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted almost daily.https://www.youtube.com/user/GotoConferences/?sub_confirmation=1

Welcome back to the Klaviyo Data Science podcast! This episode, we dive into… Required reading for data science A question we frequently get asked is: what books should I read to be a better data scientist/machine learning engineer? This may not surprise you, but there isn't just one answer — depending on the skills you have, your knowledge base, the point of your career that you're in, and many other factors, there are many books you could read that will help you learn more. This month, we cover several ways to improve the skills you need to contribute to a data science team. You'll hear about all that and more, including: Object-oriented programming, how to think about it practically, and how it can help anyone on a data science team The ethics of machine learning and AI, and why understanding AI ethics is one of your most powerful tools How Pac-Man delivers some of the most powerful data science insights of our time Mentioned this episode Some more reading or viewing that we mention in this episode: Practical Object-Oriented Design in Ruby by Sandi Metz: https://www.poodr.com/ Sandi Metz's keynote: https://www.youtube.com/watch?v=8bZh5LMaSmE Weapons of Math Destruction by Cathy O'Neil: https://weaponsofmathdestructionbook.com/ Northeastern CS 4100: https://www.ccs.neu.edu/home/jwvdm/teaching/cs4100/fall2019/ UC Berkeley CS 188: https://inst.eecs.berkeley.edu/~cs188/pacman/home.html Contact us The best place to reach the podcast is by messaging me on Twitter: https://twitter.com/lawson_m_t.

For Episode 6, the HBS hosts take a look at several of the metrics by which we are rated and ranked. We talk about grading, student evaluations, the Philosophical Gourmet Report (in professional Philosophy), social media algorithms, China's social credit systems, and we delve into some of Cathy O'Neal's arguments in *Weapons of Math Destruction.* Full episode notes at this link.

This week Casie and Chris get crafty to perform the most artful task of all; a review of Mottainai. We can't help but take a quick detour to touch on Mottainai's older, more elusive sibling, Glory to Rome. We also discuss Hallertau, finishing books (or not), some real-life crafts, Weapons of Math Destruction, and Cosmic Frog. The review of Mottainai begins at 25:45.

Links to references that arise in the conversation:Ten Arguments for Deleting Your Social Media Accounts Right Now book by Jaron LanierThe Mechanics and Psychology Behind the Social Dilemma Medium article by Jeff Seibert Moment led by Tim KendallOne Project led by Justin RosensteinThe Center for Humane Technology led by Tristan HarrisI Have Blood on My Hands Buzzfeed article on Facebook whistleblower Sophie ZhangCoded Bias documentary directed by Shalini KantayyaWeapons of Math Destruction book by Cathy O'NeilAlgorithms of Oppression book by Safiya Umoja Noble

“I didn't want the fact that we were building a family to prevent us from pursuing the things that we care about most.”-Mike KadinMike Kadin is the founder and CEO of RedCircle, a podcast platform that helps podcasters turn their hobby into a business. Mike is a self-taught software engineer, who learned to code for the web so that he could speed up his workflow as a high school teacher. After building software for educational institutions and non-profits, he spent 5 years at Uber building out all of Uber's engineering infrastructure for messaging and marketing.As a lifelong creator, Mike founded RedCircle because he discovered how hard it was for podcasters with thousands of fans to earn money for their art. With venture-backing from top Silicon Valley VCs, and an amazing 11-person team in San Francisco, RedCircle is excited to be delivering tremendous revenue for thousands of podcasters around the world.This episode of The Mosaic Life Podcast is brought to you by The Mosaic Life Circle. Join The Circle to be the first to hear about new episode releases, exclusive Instagram content, and brand new merchandise deals!Connect with MikeRedCircle.com@GetRedCircle on Instagram@GetRedCircle on Facebook@GetRedCircle on Twitter@MKadin on TwitterTimestamps00:04:45 Introducing Mike00:06:20 Mike's Background00:11:07 Podcasting's Life So Far00:12:38 By the Numbers00:13:34 From Teammate to CEO00:21:22 Ethics in Podcasting00:27:08 Podcasting Fundamentals00:28:17 Joe Rogan & Spotify00:34:35 Building a Tech Startup as a New Parent00:37:51 Lessons in Fatherhood & Business00:45:41 Breaking into Podcasting00:51:47 Industry Shifts00:55:39 Driverless Cars & Listening Habits00:57:53 Finding Mike Mike on Twitter00:59:09 Mike's Life-Changing Book01:01:20 Expressing Gratitude to MikeMike's Life-Changing Book“Weapons of Math Destruction” by Cathy O'NeilAdditional ResourcesUber“Conspiracy” by Ryan HolidayJoe Rogan's Move to SpotifyHonorable MentionsUhh Yeah Dude PodcastThe Hashtag Questions Podcast with The B&T BoysSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Can Big Data actually hurt society? Carl and Richard talk to Cathy O'Neil about her book, Weapons of Math Destruction. Cathy has been deeply involved with machine learning and big data for decades and has a broad view of both the potential and dangers of the technology. The conversation dives into understanding how this technology amplifies bias and how that bias ultimately shapes behavior. The trick is to acknowledge that the bias exists - once you see it, it is possible to overcome its effects. Lots of great thinking from an expert in the space!Support this podcast at — https://redcircle.com/net-rocks/donations