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 Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings Foundation models could eventually introduce several pathways for undermining state security: accidents, inadvertent escalation, unintentional conflict, the proliferation of weapons, and the interference with human diplomacy are just a few on a long list. The Confidence-Building Measures for... A Human Rights-Based Approach to Responsible AI Research on fairness, accountability, transparency and ethics of AI-based interventions in society has gained much-needed momentum in recent years. However it lacks an explicit alignment with a set of normative values and principles that guide this research and interventions. Rather, an implicit... Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery The strength of modern generative models lies in their ability to be controlled through text-based prompts. Typical "hard" prompts are made from interpretable words and tokens, and must be hand-crafted by humans. There are also "soft" prompts, which consist of continuous feature vectors. These can... More featured content News Articles Privacy-preserving AI – Why do we need it? Rewriting the rules of machine-generated art 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 Data systems that learn to be better An automated health care system that understands when to step in Dataset Splitting Best Practices in Python Looking into the black box Algorithm finds hidden connections between paintings at the Met Appropriately Handling Missing Values for Statistical Modelling and Prediction Evidence Counterfactuals for explaining predictive models on Big Data Sparse Matrix Representation in Python More news