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 The fight against antibiotic resistance is growing more urgent, but artificial intelligence can help Putting clear bounds on uncertainty 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 Solving a machine-learning mystery Large language models help decipher clinical notes Limits to computing: A computer scientist explains why even in the age of AI, some problems are just too difficult Flood forecasts in real-time with block-by-block data could save lives – a new machine learning method makes it possible An automated way to assemble thousands of objects From a ‘deranged’ provocateur to IBM’s failed AI superproject: the controversial story of how data has transformed healthcare Computers that power self-driving cars could be a huge driver of global carbon emissions Subtle biases in AI can influence emergency decisions More news