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 AI might be seemingly everywhere, but there are still plenty of things it can’t do – for now A simpler path to better computer vision 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 Solving brain dynamics gives rise to flexible machine-learning models Not everything we call AI is actually ‘artificial intelligence’. Here’s what you need to know Breaking the scaling limits of analog computing The dawn of AI has come, and its implications for education couldn’t be more significant Spotting plastic waste from space and counting the fish in the seas: here’s how AI can help protect the oceans In machine learning, synthetic data can offer real performance improvements A far-sighted approach to machine learning AI is changing scientists’ understanding of language learning – and raising questions about an innate grammar More news