Stanford Digital Economy Lab Center Fellow Alex “Sandy” Pentland says the new Digitalist Papers will feature essays from global experts in economics, politics, and law addressing how the intersection of technology in each field might lead to better governance. https://lnkd.in/gAuGxsXP
Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Higher Education
Stanford, California 101,264 followers
Advancing AI research, education, policy, and practice to improve humanity.
About us
At Stanford HAI, our vision for the future is led by our commitment to studying, guiding and developing human-centered AI technologies and applications. We believe AI should be collaborative, augmentative, and enhancing to human productivity and quality of life. Stanford HAI leverages the university’s strength across all disciplines, including: business, economics, genomics, law, literature, medicine, neuroscience, philosophy and more. These complement Stanford's tradition of leadership in AI, computer science, engineering and robotics. Our goal is for Stanford HAI to become an interdisciplinary, global hub for AI thinkers, learners, researchers, developers, builders and users from academia, government and industry, as well as leaders and policymakers who want to understand and leverage AI’s impact and potential.
- Website
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http://hai.stanford.edu
External link for Stanford Institute for Human-Centered Artificial Intelligence (HAI)
- Industry
- Higher Education
- Company size
- 11-50 employees
- Headquarters
- Stanford, California
- Type
- Nonprofit
- Founded
- 2018
Locations
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Primary
Stanford, California 94305, US
Employees at Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Updates
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In an interview with CNN’s Fareed Zakaria, Stanford HAI co-director Dr. Fei-Fei Li spoke about her journey as a computer scientist, the discovery of modern AI, and the next frontier of this technology. She highlighted the value of human and AI collaboration as she explores the next big advancement in AI. “I think humans and machines can be deeply collaborative […] Our civilization has always been on the quest of creating machines to collaborate with us because we want to do better,” says Dr. Li. Watch the two-part series here: https://lnkd.in/g8x7UbMN https://lnkd.in/gyBX84zM
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Stanford HAI, Stanford Online, and Apolitical recently launched a new education program for public servants. This course equips participants with the knowledge to navigate AI’s opportunities and challenges. Enroll now: https://bit.ly/3AN7hya
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“I think it's important that lawmakers feel empowered to make sure that they govern this technology in a democratic way,” says Stanford HAI International Policy Fellow Marietje Schaake. Learn more about HAI's policy efforts: https://bit.ly/4g8EuUZ
Stanford HAI: Our Policy Efforts
https://www.youtube.com/
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Could foreign actors use AI to generate persuasive propaganda? Our latest brief presents research that shows the answer is yes – highlighting the need for evidence-based research into the risks posed by LLMs. Read more: https://lnkd.in/g9asCwbN
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“If we continue to rely on preexisting cultural models, we are likely to limit creativity and the potential of AI to improve the human condition across the globe,” says postdoc Chunchen Xu. Read more insights from this research supported by Stanford HAI: https://lnkd.in/gV-RTz2X
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Are AI systems showing less bias with every new iteration? A new study reveals that LLMs continue to perpetuate harmful racial biases. “Corporations have just gotten better at the things they’ve been critiqued for,” says Stanford scholar Pratyusha Ria Kalluri. https://lnkd.in/g-vxBp2g
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Computer scientist and Stanford HAI faculty affiliate Maneesh Agrawala discusses the inspiration behind his work, some current projects, and a researcher’s perspective on the good and bad sides of AI-modified media in an interview with Stanford Report. https://lnkd.in/gu9s-vfS
Using AI tools to tell stories
news.stanford.edu
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A partnership between researchers from Stanford and Brazil is helping to proactively predict the impact of environmental changes on a decades-long effort to fight schistosomiasis, a debilitating parasitic disease spread by freshwater snails. Read the article in the Stanford Report: https://lnkd.in/gGRE2VH3
Forecasting climate's impact on a debilitating disease
news.stanford.edu
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“We found that a pathologist assisted by the AI is much better than either the pathologist by themselves or the AI by itself,” says Stanford HAI faculty affiliate James Zou about a new tool for diagnosing diseased cells. https://stan.md/3X1DbhY
nuclei.io
nuclei.io