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 Concrete Problems in AI Safety, Revisited As AI systems proliferate in society, the AI community is increasingly preoccupied with the concept of AI Safety, namely the prevention of failures due to accidents that arise from an unanticipated departure of a system's behavior from designer intent in AI deployment. We demonstrate through an... Causally Aware Generative Adversarial Networks for Light Pollution Control Artificial light plays an integral role in modern cities, significantly enhancing human productivity and the efficiency of civilization. However, excessive illumination can lead to light pollution, posing non-negligible threats to economic burdens, ecosystems, and human health. Despite its critical... Natural Language Processing for Dialects of a Language: A Survey State-of-the-art natural language processing (NLP) models are trained on massive training corpora, and report a superlative performance on evaluation datasets. This survey delves into an important attribute of these datasets: the dialect of a language. Motivated by the performance degradation of NLP... More featured content News Articles Unpacking black-box models A new state of the art for unsupervised 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 An optimized solution for face recognition Fighting discrimination in mortgage lending Does this artificial intelligence think like a human? Mapping out meteorites in Antarctica: scientists’ bid to uncover our solar system’s deep past Solving the challenges of robotic pizza-making Thousands of undiscovered mammal species may be hidden in plain sight, new research finds Using artificial intelligence to find anomalies hiding in massive datasets Injecting fairness into machine-learning models More news