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 Legitimate Power, Illegitimate Automation: The problem of ignoring legitimacy in automated decision systems Progress in machine learning and artificial intelligence has spurred the widespread adoption of automated decision systems (ADS). An extensive literature explores what conditions must be met for these systems' decisions to be fair. However, questions of legitimacy -- why those in control of ADS are... No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance Web-crawled pretraining datasets underlie the impressive "zero-shot" evaluation performance of multimodal models, such as CLIP for classification/retrieval and Stable-Diffusion for image generation. However, it is unclear how meaningful the notion of "zero-shot" generalization is for such multimodal... Power and Play: Investigating "License to Critique" in Teams' AI Ethics Discussions Past work has sought to design AI ethics interventions-such as checklists or toolkits-to help practitioners design more ethical AI systems. However, other work demonstrates how these interventions and the principles they're based on may serve to instead limit critique to those addressed within the... More featured content News Articles Flood forecasts in real-time with block-by-block data could save lives – a new machine learning method makes it possible An automated way to assemble thousands of objects 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 From a ‘deranged’ provocateur to IBM’s failed AI superproject: the controversial story of how data has transformed healthcare Computers that power self-driving cars could be a huge driver of global carbon emissions Subtle biases in AI can influence emergency decisions AI might be seemingly everywhere, but there are still plenty of things it can’t do – for now A simpler path to better computer vision Solving brain dynamics gives rise to flexible machine-learning models Not everything we call AI is actually ‘artificial intelligence’. Here’s what you need to know Breaking the scaling limits of analog computing More news