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 Selective Explanations: Leveraging Human Input to Align Explainable AI While a vast collection of explainable AI (XAI) algorithms have been developed in recent years, they are often criticized for significant gaps with how humans produce and consume explanations. As a result, current XAI techniques are often found to be hard to use and lack effectiveness. In this work... Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML The growing need for accountability of the people behind AI systems can be addressed by leveraging processes in three fields of study: ethics, law, and computer science. While these fields are often considered in isolation, they rely on complementary notions in their interpretation and... Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation In reality, it is often more efficient to ask for help than to search the entire space to find an object with an unknown location. We present a learning framework that enables an agent to actively ask for help in such embodied visual navigation tasks, where the feedback informs the agent of where... More featured content News Articles Probabilistic AI that knows how well it’s working Is generative AI bad for the environment? A computer scientist explains the carbon footprint of ChatGPT and its cousins 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 Helping robots handle fluids 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 More news