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HAI Policy Boot Camp: 5 Insights for Lawmakers
At HAI’s inaugural congressional conference, experts unpack what AI means for national security, the economy, healthcare...
Borrowing from the Law to Filter Training Data for Foundation Models
Using “Pile of Law,” a dataset of legal materials, Stanford researchers explore filtering private or toxic content from...
AI Book Recs: Add These to Your Reading List
Our HAI community offered up the best books in AI that they’re reading.
Can Foundation Models Help Us Achieve “Perfect Secrecy”?
A new study explores how to apply machine learning to digital assistants in a way that could better protect our data.
How Have Attitudes Towards U.S. Immigration Changed?
Using AI, scholars track political speech on immigration over decades to find more positive attitudes than at any point...
Ensuring the Fairness of Algorithms that Predict Patient Disease Risk
Decision-support tools for helping physicians follow clinical guidelines are increasingly using artificial intelligence,...
Computer Scientists Can’t Treat Social and Ethical Impacts as an Afterthought
A new National Academies of Science report argues that researchers must start projects with ethical review, working with...
Londa Schiebinger: Inclusive Design Will Help Create AI That Works For Everyone
The international expert on gender in science and technology discusses tools she developed to help professionals build...
Stanford Launches AI Audit Challenge
AI systems must be evaluated for legal compliance, in particular laws protecting people from illegal discrimination....
Technology Economist Susan Athey Adds DOJ Role to Her Multidimensional Career
Stanford Graduate School of Business professor and HAI Associate Director Susan Athey will serve as chief economist of...
'Worse' AI Counterintuitively Enhances Human Decision Making and Performance
AI systems that more closely align with human notions of confidence could lead to more effective human-AI collaboration....
Percy Liang on the Center for Research on Foundation Models' First and Next 30 Years
In this podcast, two scholars discuss being 'weirded out' by GPT-3, unresolved questions in building best practices, and...