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 To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing NLP is in a period of disruptive change that is impacting our methodologies, funding sources, and public perception. In this work, we seek to understand how to shape our future by better understanding our past. We study factors that shape NLP as a field, including culture, incentives, and... Who's Harry Potter? Approximate Unlearning in LLMs Large language models (LLMs) are trained on massive internet corpora that often contain copyrighted content. This poses legal and ethical challenges for the developers and users of these models, as well as the original authors and publishers. In this paper, we propose a novel technique for... “I Don’t Know If We’re Doing Good. I Don’t Know If We’re Doing Bad”: Investigating How Practitioners Scope, Motivate, and Conduct Privacy Work When Developing AI Products How do practitioners who develop consumer AI products scope, motivate, and conduct privacy work? Respecting privacy is a key principle for developing ethical, human-centered AI systems, but we cannot hope to better support practitioners without answers to that question. We interviewed 35 industry AI... More featured content News Articles Unis are using artificial intelligence to keep students sitting exams honest. But this creates its own problems How to Deal with Categorical Data for Machine Learning 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 Avoiding shortcut solutions in artificial intelligence Data Validation in Machine Learning is Imperative, Not Optional Machine Translation in a Nutshell AI Regulation is a Chance to Fix Deeper Problems – Part I Machine Learning Pipeline Optimization with TPOT Deep learning helps predict traffic crashes before they happen Artificial intelligence is now part of our everyday lives – and its growing power is a double-edged sword These neural networks know what they’re doing More news