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 Supermarket facial recognition failure: why automated systems must put the human factor first From shrimp Jesus to fake self-portraits, AI-generated images have become the latest form of social media spam 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 Building fairness into AI is crucial – and hard to get right Beware businesses claiming to use trailblazing technology. They might just be ‘AI washing’ to snare investors Generative AI could leave users holding the bag for copyright violations Something felt ‘off’ – how AI messed with our human research, and what we learned Face recognition technology follows a long analog history of surveillance and control based on identifying physical features Emotion-tracking AI on the job: Workers fear being watched – and misunderstood 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 More news