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 Artificial intelligence needs to be trained on culturally diverse datasets to avoid bias AI in the developing world: how ‘tiny machine learning’ can have a big impact 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 Why AI can’t replace air traffic controllers Taylor Swift deepfakes: new technologies have long been weaponised against women. The solution involves us all Study: Smart devices’ ambient light sensors pose imaging privacy risk AI companies are merging or collaborating to even out the gap in access to vital datasets Navigating algorithmic bias amid rapid AI development in Southeast Asia AI agents help explain other AI systems We used AI and satellite imagery to map ocean activities that take place out of sight, including fishing, shipping and energy development Multiple AI models help robots execute complex plans more transparently More news