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 Dialect prejudice predicts AI decisions about people's character, employability, and criminality Hundreds of millions of people now interact with language models, with uses ranging from serving as a writing aid to informing hiring decisions. Yet these language models are known to perpetuate systematic racial prejudices, making their judgments biased in problematic ways about groups like African... Foundation Model Transparency Reports Foundation models are critical digital technologies with sweeping societal impact that necessitates transparency. To codify how foundation model developers should provide transparency about the development and deployment of their models, we propose Foundation Model Transparency Reports, drawing upon... Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling Audits are critical mechanisms for identifying the risks and limitations of deployed artificial intelligence (AI) systems. However, the effective execution of AI audits remains incredibly difficult. As a result, practitioners make use of various tools to support their efforts. Drawing on interviews... More featured content News Articles Putting clear bounds on uncertainty Solving a machine-learning mystery 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 Large language models help decipher clinical notes Limits to computing: A computer scientist explains why even in the age of AI, some problems are just too difficult 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 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 More news