Did you know that less than 5% of the world's 7,000 languages have meaningful online representation? This highlights the data dearth that a recent @StanfordHAI white paper revealed in the context of training large language models. Read more via @TechBrew
: https://
bit.ly/3Z5rHMg
@stanfordhai
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Language Data Gap Threatens LLM Training Diversity Globally
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AI’s Dual Nature: Benefits and Risks in Society
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On PBS’ "Firing Line with Margaret Hoover (
@FiringLineShow
)," HAI Co-Director @drfeifei discusses the dual nature of artificial intelligence as both a powerful tool for societal benefit and a potential risk if misused. -
Universities Lead Ethical AI Development Through Collaboration
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In this podcast, HAI Executive Director @russellwald emphasizes the need for collaboration among universities, policymakers, and industry leaders to ensure AI remains human-centered. Hear why academic institutions are vital to ethical AI leadership: https://
bit.ly/4kI7KDz -
AI Models’ Reasoning Capabilities and High-Stakes Limitations
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AI isn’t ready for high-stakes contexts where precision is critical. In this year’s AI Index, we chart the progress of top models’ complex reasoning capabilities. See more insights from the technical chapter of the #AIIndex2025: https://
stanford.io/43w3rEo -
AI Past Present Future: OpenAI Rise and Empire of AI
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This week, don’t miss the chance to hear from @chrmanning and @_KarenHao as they dive into the past, present, and future of AI. They'll discuss the key themes of Hao's new book Empire of AI and the breakneck rise of OpenAI.
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Third-party framework proposed for AI flaw reporting accountability
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AI systems are rapidly reaching hundreds of millions, but the infrastructure to identify and fix flaws lags behind. Experts propose a new framework that allows third-party users to report flaws and monitor AI developers' responses and resolutions.
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AI Transforms Biomedicine: RAISE Health Symposium June 2
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Building on the momentum of last year’s event, this year’s #RAISEHealth Symposium will dive into how AI is actively transforming biomedicine today. On June 2, join us as we explore what’s real, what’s next, and what's needed to ensure AI benefits all. https://
stan.md/3SjDOld -
AI’s Past, Present, Future: Stakes, Gains, and Gaps
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Join award-winning AI journalist @_KarenHao and @StanfordHAI Senior Fellow @chrmanning at our next seminar for a thought-provoking conversation about the past, present, and future of AI—what’s at stake, who stands to gain, and who is being left behind. https://
hai.stanford.edu/events/karen-h
ao-in-conversation-with-chris-manning-empire-of-ai
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Shaping AI’s Impact: Early Days and Collaborative Guidance
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At today's @StanfordHAI seminar, Dave Patterson and @andykonwinski discussed themes from their paper "Shaping AI's Impact on Billions of Lives." They argued that we are still in the early days of practical AI, and that collaborative efforts can guide AI's impact.
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Monetary Circuit Model Redefines Cross-Border Payments Future
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Anticipating the future of finance, next week's @DigEconLab seminar featuring Alexander Lipton explores the monetary circuit model and cross-border payments. Delve into how these concepts coalesce to redefine economic frameworks in uncertain times. https://
digitaleconomy.stanford.edu/event/alexande
r-lipton/
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