In this article, HAI deputy director Russell Wald and faculty affiliate Sanmi Koyejo emphasized the need to address AI’s bias toward people of color and engage lawmakers early to shape policies that protect marginalized communities. Read more via Bloomberg Law: https://lnkd.in/gqEvEKMB
Stanford Institute for Human-Centered Artificial Intelligence (HAI)
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Stanford, California 101,563 followers
Advancing AI research, education, policy, and practice to improve humanity.
Über uns
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)
- Industrie
- Höhere Bildung
- Größe des Unternehmens
- 11-50 Mitarbeiter
- Hauptsitz
- Stanford, California
- Typ
- Nonprofit
- Gegründet
- 2018
Standorte
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Primäre
Stanford, California 94305, US
Employees at Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Aktualisierungen
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AI is more than just a technology—it’s a catalyst for progress. Stanford HAI and the Hasso Plattner Institute for Design at Stanford are offering a dynamic program to help social sector leaders harness AI for their missions and create impactful strategies. https://lnkd.in/gXqR_KfP
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Stanford scholars are working to reimagine public safety. “With large language models and other AI systems, we are in the position to leverage the power of computation to examine how police make contact with the public,” said social psychologist Jennifer Eberhardt. Learn more about the projects funded through this year’s Stanford HAI Hoffman-Yee Research Grants: https://lnkd.in/ghNC5zzW
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Generative AI is poised to disrupt virtually every field – from manufacturing to entertainment to finance. To leverage this technology effectively and ethically, you need a solid grasp of its fundamentals. Enroll now for this online, self-paced course: https://lnkd.in/gAcX6Cau
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Scholars at Stanford CRFM, HAI, and RegLab just issued a response to National Institute of Standards and Technology (NIST) U.S. AI Safety Institute’s request for comment on managing misuse risk for dual-use foundation models. Read their recommendations here: https://lnkd.in/gg7pHk_V
Response to U.S. AI Safety Institute’s Request for Comment on Managing Misuse Risk For Dual-Use Foundation Models
hai.stanford.edu
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A new joint research program between the Hasso Plattner Institute and Stanford HAI brings students and professors from both universities together to work on experimental projects in human-computer interaction and AI. Read the announcement here: https://lnkd.in/gSaaz4RU
A New Collaboration Between the Hasso Plattner Institut and HAI Brings the Human Factor of AI to the Forefront
hai.stanford.edu
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Covert racism against African American English speakers remains embedded in LLMs, despite efforts to reduce overt bias, according to a new study. The paper illuminates the dangers of relying on these models for decisions like hiring, education, and legal accountability. Learn more: https://lnkd.in/gVyJ76XP
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As developers seek to build new datasets in the age of generative AI, legal and policy considerations come into play. With a newly awarded Stanford HAI Hoffman-Yee Research Grant, this team of scholars aims to establish guiding principles for assembling datasets and ensuring that they are used responsibly. Read more: https://lnkd.in/gxQ6PWjD
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A long-running field experiment of online advertising on Facebook shows surprising results. Read more about the nine-year study here: https://lnkd.in/g6RGkpjs
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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