By studying the underlying physical dynamics of flying embers, scholars aim to develop AI-driven models to understand and mitigate spot fires, which often lead to home destruction. Learn more about this study supported by HAI:
@stanfordhai
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Algorithm Auditing: History, State, and Best Practices
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AI systems pose black-box decision-making challenges, leaving researchers, users, and regulators grappling with a technology they can’t fully observe. This brief reviews the history, current state, and best practices of algorithm auditing.
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Stanford scholars recommend fairness training for decision-making algorithms
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Algorithmic decisions based on fairness may not always lead to equitable or desirable outcomes. In a new paper, HAI faculty affiliate @JulianNyarko and other Stanford scholars offer recommendations for training algorithms to assist in decision making.
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Congressional AI Boot Camp Year 2 Concludes with Policy Resources
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That’s a wrap on our 2nd year of the congressional boot camp on AI! Thanks to all the dedicated congressional staffers and the high caliber of speakers who joined us over the past 3 days. For more resources on AI policy, check out our publications here: https://
hai.stanford.edu/policy/policy-
publications
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Stanford Scholars Address AI Fair Use and Legal Challenges
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As AI tools continue to advance in capabilities and scale, they challenge the traditional notions of fair use and pose complex legal issues. Stanford scholars offer recommendations to address this growing concern.
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Stanford scholars advocate proactive LLM governance in medicine
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Stanford scholars urge the medical industry to be more proactive in shaping large language models. The question isn’t how LLMs will change medicine, but what we do so that they're useful for medicine, says HAI faculty affiliate @drnigam
. https://
stan.md/3quLu9F -
Stanford Toolkit Addresses NLP Performance Gaps in English Variants
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The field of natural language processing is fraught with equity challenges. Stanford researchers developed a toolkit to help address performance gaps with English language variants.
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AI-Driven Healthcare Market Incentives Policy Recommendations
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This brief outlines recommendations for policymakers to realign healthcare market incentives in favor of patients through AI-driven opportunities that may have a significant impact on the pricing of healthcare.
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AI Transforming U.S. Healthcare: Opportunities, Risks, Policy
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Can AI help transform the U.S. healthcare system? Stanford scholars @curtlanglotz
, @drnigam
, @alyceadamsPhD
, and @sherrirose discuss the coming changes in healthcare, the opportunities and risks AI presents, and how policies can ensure safe and robust health systems. -
AI in Education: Congressional Boot Camp on Responsible Implementation
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At today’s boot camp, HAI faculty affiliates @chrispiech and @EmmaBrunskill join congressional staffers in a session moderated by Shima Salehi. They look into how AI can be leveraged to improve the education system without causing harm to teachers and students.