From predicting the structure of proteins to global climate patterns, AI can enhance human understanding. Join @SuryaGanguli
, @alexrives
, @pratyusha_PS & @StanfordWoods
’ Aditi Sheshadri as they discuss ways AI provides new windows into the natural world. https://
stanford.io/46NtzuT
@stanfordhai
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AI Enhancing Scientific Understanding Across Natural Domains
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Community Participation Strengthens Ethical Foundations in AI Research
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"Participation done well can place our work on stronger ethical foundations by incorporating and accounting for the values of the communities and societies we’re operating in,” says @shakir_za
, senior research scientist at @GoogleDeepMind
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Google DeepMind Keynote on Generative AI Socio-Technical Foundations
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Our fall conference kicks off with a keynote from @GoogleDeepMind
's @shakir_za who explores generative AI and its socio-technical foundations. Don’t miss it: https://
hai.stanford.edu/events/new-hor
izons-generative-ai-science-creativity-and-society
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HAI Fall Conference Explores Generative AI Across Sciences and Society
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LIVE: 2023 HAI Fall Conference on New Horizons in Generative AI. Let’s go beyond AI buzzwords and deep dive into how generative AI is transforming the sciences, creative disciplines, and society. Watch the livestream here: https://
stanford.io/3Qv1NO0 -

Stanford Researchers Use NLP Tools to Enhance Classroom Instruction
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Innovative Natural Language Processing (NLP) tools promise to help teachers improve instruction in the classroom. A team of Stanford education researchers embraces the opportunity to transform learning, while keeping the teacher in the loop. https://
stanford.io/3QswtPQ -

Federal Agencies Navigate Privacy-Bias Trade-Off in AI
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New policy brief: Amid rapid advances in AI, efforts to safeguard privacy & address algorithmic bias are increasingly at odds. Our latest brief examines how federal agencies are grappling with this “privacy-bias trade-off” and proposes policy solutions. https://
stanford.io/46TROHx -
AI Transparency Decline Raises Ethical Concerns Despite Rising Capabilities
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“Over the last 3 years, transparency is on the decline while capability is going through the roof. This is highly problematic because we've seen in areas like social media that when transparency goes down, bad things happen." – @percyliang via @reuters
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Transparency Essential for AI Regulation and Oversight
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“If you don’t have transparency, regulators can’t even pose the right questions, let alone take action in these areas.” – @RishiBommasani Check out @StanfordCRFM
’s website for more info: https://
crfm.stanford.edu/fmti/ -

Foundation Model Developers Lack Transparency Say Scholars
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Foundation model developers are becoming less transparent, making it difficult for researchers, policymakers, and the public to understand how these models work, as well as their limitations and impact. Scholars assess the transparency of 10 developers. https://
stanford.io/3Fnx2Eh -
AI Red Teaming: Eight Practitioner Lessons from Azure Expert
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AI red teaming is exploding in popularity. But what does it even mean? For today's HAI seminar, @Azure
's Siva Kumar (
@ram_ssk
) distills eight lessons from a practitioner’s perspective. Join us online at 10 am PT: