How do we navigate AI’s impact on the workforce? The future of jobs lies in organizations, says Stanford HAI faculty affiliate Melissa Valentine. “Most of our power comes as we work together, as we coordinate across all of our jobs.” Watch the full talk on how AI can augment organizations: https://lnkd.in/gmZhBKmQ
Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Higher Education
Stanford, California 99,423 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 this conversation moderated by journalist Kara Swisher, you will hear from the underrepresented community of women scientists who have been leading the AI revolution — from the beginning to now. Watch the recording here: https://lnkd.in/gWh9dksd
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“Promising developments in generation, robotics, agentic AI, science, and medicine show that AI will be much more than just a tool for answering queries and writing cover letters,” says Stanford HAI research manager and AI Index editor-in-chief Nestor Maslej. https://lnkd.in/gz-vkxiA
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Researchers have developed a new framework called TextGrad, which enhances complex AI systems by optimizing feedback from large language models. Learn some of the exciting scientific applications: https://lnkd.in/gRqCNyVT
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Generative AI is disrupting business as usual. How will you prepare? Gain a profound understanding of the technical fundamentals in this new course developed by Stanford Online and Stanford HAI: https://lnkd.in/gJtDPhDp
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A Stanford HAI student affinity group, led by Stanford PhD student Zachary Robertson, examines the ethical challenges faced by data workers and the companies that employ them. https://lnkd.in/gD7bpF3N
Exploring the Complex Ethical Challenges of Data Annotation
hai.stanford.edu
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Julia D.'s journey as a PhD student in robotics at Stanford University has been marked by a search for community. After applying for the Stanford HAI student affinity group program, she convened a vibrant group of students interested in the field of embodied AI, fostering interdisciplinary connections from four different schools—engineering, sustainability, business, and medicine. Initially seeking a sense of community within a niche but burgeoning field, Julia did not expect an overwhelming response from other students who are equally eager to connect over shared passions. "Having HAI in the background makes our student group a real thing. It allows people to join with intention," Julia says. Thanks to the community they have built, a group of students is now poised to contribute flagship projects for a new robotics center on campus – a testament to the power of initiative and the importance of student communities in advancing academic and research frontiers. Stanford students can learn more about the student affinity group program through our website. Applications for the academic year 2024-25 are open until August 23, 2024: https://lnkd.in/geCemxzE
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In a fireside chat with Stanford HAI co-founder Fei-Fei Li, Marc Andreessen discusses the critical role of open-source in today’s AI development. Watch the full video of the talk during our five-year anniversary conference: https://lnkd.in/gtHN8JjP
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Digital ad platforms should make it easier for advertisers to learn when their ads are appearing on questionable websites. Researchers offer recommendations based on a new study on misinformation. https://lnkd.in/gFs7s9-s
Digital Advertisers Often Fund Misinformation Unwittingly
hai.stanford.edu
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Bridging the data gap between human children and large language models can reveal a lot about the human mind and how children learn, says Stanford HAI faculty affiliate Michael Frank. Watch the full video of his talk at our five-year anniversary conference: https://lnkd.in/g7H63eWR