Podcasts about terah lyons

Today's guest is Stanford Institute of Human Centered AI's Nestor Maslej here to chat about this year's AI Index Report - this is the second time we're here together and I'd highly recommend listening to last year's episode with Nestor on the 2022 Report. What are the trends, opportunities and challenges in AI from this last year?AI is being used to tangibly increase scientific advancement in energyTricking chat gpt into building a dirty bomb or listing pirated movie websitesHumanity faces the challenge of finding a way to manage the risks associated with artificial intelligence while ensuring that the benefits are shared by everyone.Top AI trends this year, compared to last yearCareer advice 2013 vs 2023 - 2013: “study computer science that is the future instead of being, say, a welder”, to 2023: “go back to being a welder, AI is going to replace all the computer science jobs”Generative AI seems to be going after creativesHow much money is AI generating?AI ethics on the risePublic Opinion on AIWhen will we get to Artificial General intelligence?Listen to last year's episode with Nestor on the 2022 AI Index Report: https://www.buzzsprout.com/1477957/10744662Nestor Maslej: https://www.linkedin.com/in/nestor-maslej-b565b779/AI Index Report: https://aiindex.stanford.edu/report/Nestor Maslej, Loredana Fattorini, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Vanessa Parli, Yoav Shoham, Russell Wald, Jack Clark, and Raymond Perrault, “The AI Index 2023 Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2023.Your host of Last Week on Earth with GARI: Odessa Primus: https://www.linkedin.com/in/odessa-primus/If you want better insights into challenges and decisions you or your business are facing, GARI's analytical services are of unmatched complexity and high accuracy - whether your questions are on the green energy transition, trade and supply chains, or political and security related - contact us for a free consultation and see how you can optimise your decision-making.www.globari.org@LinkedIn @GARInstitute) / Twitter

In this episode of Intel on AI guest Terah Lyons, Executive Director of Partnership on AI, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about her previous work as Policy Advisor to the United States Chief Technology Officer Megan Smith in President Barack Obama’s Office of Science […]

In this episode of Intel on AI guest Terah Lyons, Executive Director of Partnership on AI, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about her previous work as Policy Advisor to the United States Chief Technology Officer Megan Smith in President Barack Obama’s Office of Science […]

In this episode of Intel on AI guest Terah Lyons, Executive Director of Partnership on AI, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about her previous work as Policy Advisor to the United States Chief Technology Officer Megan Smith in President Barack Obama’s Office of Science […]

In our latest Affectiva Asks podcast, we talk about human-centric AI with six speakers at Affectiva’s 2019 Emotion AI Summit: Rudina Seseri of Glasswing Ventures, Dr. Cory Kidd of Catalia Health, Dana Lowell of Faurecia, John Suh of Hyundai CRADLE, David Woessner of Local Motors, and Terah Lyons of The Partnership on AI.

Terah Lyons is the Executive Director of the Partnership on AI, a consortium that aims to establish best practices for AI systems and to educate the public about AI. They're working to explore AI's impact on the world, including on the labor market and the economy. Before this role, Terah worked in the office of the CTO for the Obama administration, but she asserts that public policy alone is not enough. Proactive attention and planning are needed to support economies of the future. Show notes Conversation with the Terah Lyons (0:50) Terah Lyons worked in the office of the CTO for the Obama administration. Terah is the founding Executive Director of the Partnership on AI.  The Partnership on AI is working on an initiative focused on transparency in ML.   Listener question From Ari via email: "In a recent podcast, a listener asked if there was ongoing research into algorithmic bias in AI. I thought this was an interesting example of biased AI in the incarceral system: Even in states working to eliminate the role of cash bail, such as New Jersey, a past Failure to Appear can mean the difference between confinement and freedom. In 2017, the state virtually abolished its cash bail system, but defendants are rated by a tool that uses nine factors to evaluate a person's statistical ‘risk' for failing to appear in court or being involved in ‘new criminal activity.' In each of those categories, prior FTAs add significant ‘risk' to a person's score. What do you think of this?” We want to hear from you. Please send us your comments, suggested topics, and listener questions for future All Turtles Podcast episodes.  Email: hello@all-turtles.com Twitter: @allturtlesco

John Thornhill talks to Terah Lyons, founding executive director of the Partnership on AI, a US initiative that brings civil society groups into a debate with big tech companies to promote the benefits of machine intelligence. See acast.com/privacy for privacy and opt-out information.

Former President Barack Obama was one of the most science and technology oriented presidents, and took a personal interest in the work around Artificial Intelligence, according to Terah Lyons, former policy adviser to the U.S. Chief Technology Officer in the White House Office of Science and Technology Policy (OSTP). Lyons, now the Executive Director at the Partnership on AI, sat down with EY Global Tax Innovation Leader Jeff Saviano and discussed AI / data privacy policy, and the government's role in developing leading technology.

Dr. Fei-Fei Li, the Chief Scientist of AI/ML at Google joins Melanie and Mark this week to talk about how Google enables businesses to solve critical problems through AI solutions. We talk about the work she is doing at Google to help reduce AI barriers to entry for enterprise, her research with Stanford combining AI and health care, where AI research is going, and her efforts to overcome one of the key challenges in AI by driving for more diversity in the field. Dr. Fei-Fei Li Dr. Fei-Fei Li is the Chief Scientist of AI/ML at Google Cloud. She is also an Associate Professor in the Computer Science Department at Stanford, and the Director of the Stanford Artificial Intelligence Lab. Dr. Fei-Fei Li's main research areas are in machine learning, deep learning, computer vision and cognitive and computational neuroscience. She has published more than 150 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, IJCV, IEEE-PAMI, etc. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She joined Stanford in 2009 as an assistant professor, and was promoted to associate professor with tenure in 2012. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006). Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is co-founder of Stanford's renowned SAILORS outreach program for high school girls and the national non-profit AI4ALL. For her work in AI, Dr. Li is a speaker at the TED2015 main conference, a recipient of the IAPR 2016 J.K. Aggarwal Prize, the 2016 nVidia Pioneer in AI Award, 2014 IBM Faculty Fellow Award, 2011 Alfred Sloan Faculty Award, 2012 Yahoo Labs FREP award, 2009 NSF CAREER award, the 2006 Microsoft Research New Faculty Fellowship and a number of Google Research awards. Work from Dr. Li's lab have been featured in a variety of popular press magazines and newspapers including New York Times, Wall Street Journal, Fortune Magazine, Science, Wired Magazine, MIT Technology Review, Financial Times, and more. She was selected as a 2017 Women in Tech by the ELLE Magazine, a 2017 Awesome Women Award by Good Housekeeping, a Global Thinker of 2015 by Foreign Policy, and one of the “Great Immigrants: The Pride of America” in 2016 by the Carnegie Foundation, past winners include Albert Einstein, Yoyo Ma, Sergey Brin, et al. Cool things of the week Terah Lyons appointed founding executive director of Partnership on AI article & site Fully managed export and import with Cloud Datastore now generally available blog How Color uses the new Variant Transforms tool for breakthrough clinical data science with BigQuery blog & repo Google Cloud and NCAA team up for a unique March Madness copmetition hosted on Kaggle blog Interview AI4All site, they are hiring and how to become a mentor Cloud AI site Cloud AutoML site Cloud Vision API site and docs Cloud Speech API site and docs Cloud Natural Language API site and docs Cloud Translation API site and docs Cloud Machine Learning Engine docs TensorFlow site, github and Dev Summit waitlist ImageNet site & Kaggle ImageNet Competition site Stanford Medicine site & Stanford Children's Hospital site Additional sample resources on Dr. Fei-Fei Li: Citations site Stanford Vision Lab site Fei-Fei Li | 2018 MAKERS Conference video Google Cloud's Li Sees Transformative Time for Enterprise video Past, Present and Future of AI / Machine Learning Google I/O video Research Symposium 2017 - Morning Keynote Address at Harker School video How we're teaching computers to understand pictures video Melinda Gates and Fei-Fei Li Want to Liberate AI from “Guy with Hoodies” article Dr. Fei-Fei Li Question of the week Where can I learn more about machine learning? Listing of some of the many resources out there in no particular order: How Google does Machine Learning coursera Machine Learning with Andrew Ng coursera and Deep Learning Specialization coursera fast.ai site Machine Learning with John W. Paisley edx Machine Learning Columbia University edx International Women's Day March 8th International Women's Day site covers information on events in your area, and additional resources. Sample of recent women in tech events to keep on radar for next year: Women Techmakers site Lesbians Who Tech site Women in Data Science Conference site Where can you find us next? Mark will be at the Game Developer's Conference | GDC in March.

Hilary and Roger follow up on open data and data sharing in government. They also discuss artificial intelligence, self-driving cars, and doing your taxes in R. Show notes: Lucy D’Agostino McGowan (@LucyStats) made a great translation of Hill’s criteria using XKCD comics: http://www.lucymcgowan.com/hill-for-data-scientists.html Lucy’s web page: http://www.lucymcgowan.com Preparing for the Future of Artificial Intelligence: https://www.whitehouse.gov/sites/default/files/whitehouse_files/microsites/ostp/NSTC/preparing_for_the_future_of_ai.pdf Partially Derivative White House Special – with DJ Patil, US Chief Data Scientist: http://12%20Dec%202016%20White%20House%20Special%20with%20DJ%20Patil,%20US%20Chief%20Data%20Scientist Not So Standard Deviations – Standards are Like Toothbrushes – with with Daniel Morgan, Chief Data Officer for the U.S. Department of Transportation and Terah Lyons, Policy Advisor to the Chief Technology Officer of the U.S.: https://soundcloud.com/nssd-podcast/episode-29-standards-are-like-toothbrushes Henry Gitner Philatelists: http://www.hgitner.com Some Pioneers of Modern Statistical Theory: A Personal Reflection by Sir David R. Cox: https://drive.google.com/file/d/0B678uTpUfn80a2RkOUc5LW51cVU/view?usp=sharing

Roger travels to Washington, DC to talk with Daniel Morgan, Chief Data Officer for the U.S. Department of Transportation and Terah Lyons, Policy Advisor to the Chief Technology Officer of the U.S. The discussion covered open data, the process of making data available, standards for data formats (and their relation to toothbrushes), and of course—automated vehicles. Show Notes: Data about Pavement: https://infopave.fhwa.dot.gov National Highway Traffic Safety Administration (NHTSA) Federal Automated Vehicles Policy: https://one.nhtsa.gov/nhtsa/av/av-policy.html Office of Science and Technology Policy (OSTP): https://www.whitehouse.gov/administration/eop/ostp U.S. Digital Service: https://www.whitehouse.gov/participate/united-states-digital-service