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 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... No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance Web-crawled pretraining datasets underlie the impressive "zero-shot" evaluation performance of multimodal models, such as CLIP for classification/retrieval and Stable-Diffusion for image generation. However, it is unclear how meaningful the notion of "zero-shot" generalization is for such multimodal... More featured content News Articles World’s biggest bat colony gathers in Zambia every year: we used artificial intelligence to count them A pose-mapping technique could remotely evaluate patients with cerebral palsy 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 Virtual influencers: meet the AI-generated figures posing as your new online friends – as they try to sell you stuff How an archeological approach can help leverage biased data in AI to improve medicine Social media algorithms warp how people learn from each other, research shows Experts alone can’t handle AI – social scientists explain why the public needs a seat at the table AI helps robots manipulate objects with their whole bodies For minorities, biased AI algorithms can damage almost every part of life MIT researchers combine deep learning and physics to fix motion-corrupted MRI scans How machine learning models can amplify inequities in medical diagnosis and treatment More news