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 Lazy Data Practices Harm Fairness Research Data practices shape research and practice on fairness in machine learning (fair ML). Critical data studies offer important reflections and critiques for the responsible advancement of the field by highlighting shortcomings and proposing recommendations for improvement. In this work, we present a... Are Models Biased on Text without Gender-related Language? Gender bias research has been pivotal in revealing undesirable behaviors in large language models, exposing serious gender stereotypes associated with occupations, and emotions. A key observation in prior work is that models reinforce stereotypes as a consequence of the gendered correlations that... Legitimate Power, Illegitimate Automation: The problem of ignoring legitimacy in automated decision systems Progress in machine learning and artificial intelligence has spurred the widespread adoption of automated decision systems (ADS). An extensive literature explores what conditions must be met for these systems' decisions to be fair. However, questions of legitimacy -- why those in control of ADS are... More featured content News Articles New method simplifies the construction process for complex materials A ‘black box’ AI system has been influencing criminal justice decisions for over two decades – it’s time to open it up 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 The hidden cost of the AI boom: social and environmental exploitation A faster way to teach a robot The chore of packing just got faster and easier AI scam calls imitating familiar voices are a growing problem – here’s how they work When computer vision works more like a brain, it sees more like people do Beyond the hype: How AI could change the game for social science research Generative AI is a minefield for copyright law A more effective way to train machines for uncertain, real-world situations More news