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 Epistemic Power, Objectivity and Gender in AI Ethics Labor: Legitimizing Located Complaints What counts as legitimate AI ethics labor, and consequently, what are the epistemic terms on which AI ethics claims are rendered legitimate? Based on 75 interviews with technologists including researchers, developers, open source contributors, artists, and activists, this paper explores various... Measuring machine learning harms from stereotypes: requires understanding who is being harmed by which errors in what ways As machine learning applications proliferate, we need an understanding of their potential for harm. However, current fairness metrics are rarely grounded in human psychological experiences of harm. Drawing on the social psychology of stereotypes, we use a case study of gender stereotypes in image... Large language models cannot replace human participants because they cannot portray identity groups Large language models (LLMs) are increasing in capability and popularity, propelling their application in new domains -- including as replacements for human participants in computational social science, user testing, annotation tasks, and more. Traditionally, in all of these settings survey... 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