Gods and Robots In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show professor Michael Littman. See... See More Episodes arXiv Whitepapers Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities There has been significant progress in implementing deep learning models in disease diagnosis using chest X- rays. Despite these advancements, inherent biases in these models can lead to disparities in prediction accuracy across protected groups. In this study, we propose a framework to achieve... (Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court Accountable use of AI systems in high-stakes settings relies on making systems contestable. In this paper we study efforts to contest AI systems in practice by studying how public defenders scrutinize AI in court. We present findings from interviews with 17 people in the U.S. public defense... Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How Advances in Generative Artificial Intelligence (AI) are resulting in AI-generated media output that is (nearly) indistinguishable from human-created content. This can drastically impact users and the media sector, especially given global risks of misinformation. While the currently discussed... More featured content News Articles Beyond the hype: How AI could change the game for social science research Generative AI is a minefield for copyright law Stay in the loop. Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings. E-mail Leave this field blank A more effective way to train machines for uncertain, real-world situations Using reflections to see the world from new points of view EU approves draft law to regulate AI – here’s how it will work New tool helps people choose the right method for evaluating AI models Training machines to learn more like humans do AI clones made from user data pose uncanny risks Probabilistic AI that knows how well it’s working Is generative AI bad for the environment? A computer scientist explains the carbon footprint of ChatGPT and its cousins More news