"The effects of generative AI are not necessarily predetermined. Instead, they depend on choices by technologists, managers, entrepreneurs, policymakers, and many others," says @DigEconLab director @erikbryn in an essay for @StanfordHAI
. https://
stanford.io/48gXLQ3
@stanfordhai
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Generative AI Effects Depend on Human Choices and Decisions
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Study reveals behavior gaps in large language models
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Should we delegate important tasks to AI? A new benchmark study reveals behavior gaps in large language models.
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Fei-Fei Li Senate Testimony on Artificial Intelligence Policy
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Read the written testimony on our website: https://
hai.stanford.edu/sites/default/
files/2023-09/Fei-Fei-Li-Senate-Testimony.pdf
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U.S. Government Role in Ethical AI Procurement and Governance
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"It falls upon the U.S. government to spearhead the ethical procurement and deployment of these systems, setting norms for AI development and ultimately shaping the field of responsible AI,” says @drfeifei
. Watch the recording of the full hearing here: https://
hsgac.senate.gov/hearings/gover
ning-ai-through-acquisition-and-procurement-2/
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AI Governance Through Government Procurement Policy Discussed
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Today, our co-director @drfeifei testified before the U.S. Committee on Homeland Security and Governmental Affairs on governing AI through acquisition and procurement. She explained the potential and risks of AI and voiced her support for the Create AI Act.
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New ACCEPT-AI Framework Addresses AI Ethics in Pediatric Research
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Current guidelines for AI in medical research lack specific considerations for pediatric populations. In this interview, researchers propose a new framework called ACCEPT-AI to address this gap.
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Ethics in Generative AI: Exploring Human Values and AI
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Stanford HAI’s @robreich joins AI researchers and ethicists at #DF23 in San Francisco to discuss AI and human values. How should we think about ethics in a generative AI world?
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AI Integration Understanding Wins Stanford Essay Competition Award
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Congratulations to Asst Prof @SamShorey of @UTAustin for winning the #AI100 essay competition! Her essay calls for an understanding of AI systems as implemented through acts of integration rather than mere deployment. Read more: https://
ai100.stanford.edu/sites/g/files/
sbiybj18871/files/media/file/ai100_essaycompetition.pdf
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AI100 Essay Competition Showcases Early Career Researchers’ Perspectives
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In January, #A100 launched an essay competition to lay the groundwork for the next report. Over 50 early career researchers from 18 countries answered our call, offering intriguing perspectives on AI and its impacts on society. Read the essays here: https://
ai100.stanford.edu/prize-competit
ion
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Stanford HAI explores generative AI impact across disciplines
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Generative AI presents various opportunities and risks. We believe that interdisciplinary collaboration is essential in ensuring these technologies benefit us all. In this collection of essays, Stanford HAI leaders explores its impact across fields: