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 BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer Despite remarkable advancements in few-shot generalization in natural language processing, the majority of models are developed and evaluated primarily in English. To enable fair model comparisons, we, therefore, propose a new benchmark, called BUFFET, which unifies 16 diverse tasks across 57... Moving Fast With Broken Data Machine learning (ML) models in production pipelines are frequently retrained on the latest partitions of large, continually-growing datasets. Due to engineering bugs, partitions in such datasets almost always have some corrupted features; thus, it's critical to detect data issues and block... How to design an AI ethics board Organizations that develop and deploy artificial intelligence (AI) systems need to take measures to reduce the associated risks. In this paper, we examine how AI companies could design an AI ethics board in a way that reduces risks from AI. We identify five high-level design choices: (1) What... More featured content News Articles Is generative AI bad for the environment? A computer scientist explains the carbon footprint of ChatGPT and its cousins Helping robots handle fluids 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 better way to study ocean currents AI is helping astronomers make new discoveries and learn about the universe faster than ever before Scientists are using machine learning to forecast bird migration and identify birds in flight by their calls Researchers create a tool for accurately simulating complex systems Speeding up drug discovery with diffusion generative models AI has potential to revolutionise health care – but we must first confront the risk of algorithmic bias Strengthening trust in machine-learning models A method for designing neural networks optimally suited for certain tasks More news