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 Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models Recent studies of the emergent capabilities of transformer-based Natural Language Understanding (NLU) models have indicated that they have an understanding of lexical and compositional semantics. We provide evidence that suggests these claims should be taken with a grain of salt: we find that state... Red-Teaming for Generative AI: Silver Bullet or Security Theater? In response to rising concerns surrounding the safety, security, and trustworthiness of Generative AI (GenAI) models, practitioners and regulators alike have pointed to AI red-teaming as a key component of their strategies for identifying and mitigating these risks. However, despite AI red-teaming's... The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology Motion capture systems, used across various domains, make body representations concrete through technical processes. We argue that the measurement of bodies and the validation of measurements for motion capture systems can be understood as social practices. By analyzing the findings of a systematic... More featured content News Articles A ‘black box’ AI system has been influencing criminal justice decisions for over two decades – it’s time to open it up The hidden cost of the AI boom: social and environmental exploitation 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 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 Using reflections to see the world from new points of view More news