Ai Education Summit at Standford

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Stanford HAI
Stanford HAI is committed to studying, guiding and developing human-centered AI technologies and applications.
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  • HAI at Five Conference: Celebrating 5 Years of Impact
  • HAI at Five
  • 2024 AI+Education Summit: Advancing Human Learning with AI Technologies
  • New Horizons in Generative AI: Science, Creativity, and Society
  • 2023 HAI Congressional Bootcamp
  • Creativity in the Age of AI: Stanford HAI Spring Symposium
  • AI+Education Summit: AI in the Service of Teaching and Learning
  • Tanner Lecture
  • 2022 HAI Fall Conference on AI in the Loop: Humans in Charge
  • 2022 HAI Congressional Bootcamp
  • AI and the Economy Symposium
  • 2022 HAI Spring Conference on Key Advances in Artificial Intelligence
  • Data-Centric AI Virtual Workshop
  • Stanford HAI Fall Conference: Four Radical Proposals for a Better Society
  • Hoffman-Yee Symposium 2021
  • AI100 Virtual Event
  • Workshop on Foundation Models
  • Intelligence Augmentation: AI Empowering People to Solve Global Challenges (Spring Conference)
  • HAI Directors' Conversations
  • HAI Grant Recipients
  • Triangulating Intelligence: Melding Neuroscience, Psychology, and AI
  • Digital Economy Lab Seminars
  • Stanford HAI Highlights
  • COVID + AI: The Road Ahead
  • HAI Research Seminars
  • COVID-19 and AI: A Virtual Conference by Stanford HAI
  • Stanford HAI Events
  • Lightning Talks: Stanford HAI Symposium 2019
  • Stanford HAI Symposium 2019
  • Stanford OVAL Workshop
  • Stanford HAI 2019 Fall Conference

HAI Seminar with Juan Lavista Ferres: AI in Action

25.10.2024
Dr. Juan Lavista Ferres' talk explored the transformative role of artificial intelligence in tackling global challenges, as detailed in the "AI for Good" book. Shifting the conversation beyond conventional AI topics, Dr. Lavista Ferres presented real-world applications of AI, from biodiversity conservation to disaster response, showcasing how the technology is being used to drive ethical and impactful change. Through powerful examples, this talk emphasizes the potential of AI to solve pressing societal issues and inspire dialogue on the responsible use of today’s technology. With smartphones now exceeding the computing power that once sent astronauts to the moon, the tools to address global challenges are within reach, demanding urgent and innovative solutions. This seminar was recorded on October 23, 2024 at Stanford University.
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The Role of Business: Policy Implications of Industry Leadership in AI

06.09.2024
Silicon Valley, which is home to venture capital, startups, and leading tech firms, is a global center of tech innovation. From the startup lab to the boardrooms of major companies, this session brings together startup founders and tech executives to map out Silicon Valley’s innovation ecosystem, discuss its vibrancy, and critically think about the consequences of AI developments on society. Panelists offer their perspectives on starting, funding, and running successful companies as well as providing counsel to companies on ensuring ethical business practices. Speakers: Rachel Gillum Vice President of Ethical & Humane Use of Technology, Salesforce Sarah Guo Founder and Managing Partner, Conviction Michael Kratsios Former Chief Technology Officer of the United States; Managing Director, ScaleAI; Distinguished Policy Fellow, Stanford HAI Navrina Singh CEO and Founder, CredoAI Moderator: DJ Patil Former Chief Data Scientist of the United States; General Partner, GreatPoint Ventures
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HAI Seminar: Intersectional Biases in Generative Language Models and Their Psychosocial Impacts

24.10.2024
The rapid emergence of generative AI technologies has been shaped by a wave of early excitement and hope for a broad range of use cases. Yet, the impacts of the latest models on historically marginalized communities is still relatively understudied, including the potential for sociotechnical harm. In this session, Faye-Marie Vassel, STEM Education, Equity, and Inclusion Postdoctoral Fellow at HAI, and Evan Shieh, Executive Director and AI Researcher at Young Data Scientists League, presented a line of research uncovering intersectional biases in generative language models when they are used for open-ended writing, drawing connections between their synthetic text outputs and known linguistic patterns that have psychosocial impacts for diverse learners in educational settings. This seminar was recorded on October 16, 2024 at Stanford University.
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Offscript with Ge Wang & Vanessa Parli|Episode 5: What Do We (Really) Want from AI & the Humanities?

28.09.2024
The Human-Centered AI Vodcast is a sort of hybrid podcast, live audience and seminar series. Through this series, we hope to better understand what all of you want from AI. So, welcome to Stanford Human-Centered AI Vodcast, where we don't sweep anything under the rug; where we question everything, starting with ourselves.
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HAI Seminar with Google Learning Team: Unlocking Curiosity with "Learn About"

15.10.2024
The rapid advancement of AI, particularly large language models, presents a transformative opportunity for education. "Learn About," a new experimental AI learning tool from Google, explores this potential by combining the vast knowledge of Google Search with the conversational power of Gemini and learning science principles. This session introduced "Learn About" and delved into Google’s approach for developing AI-powered learning tools. Live demonstrations showcased how "Learn About" guides users through complex topics with interactive learning aids, multimedia resources, and personalized learning paths. This seminar was recorded on October 9, 2024 at Stanford University.
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Taming Silicon Valley: Peter Norvig in Conversation with Gary Marcus

03.10.2024
AI could make society or break it. It could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could lead to the downfall of democracy, an explosion in cybercrime, or possibly even worse. It’s also been wildly oversold. In this seminar, moderator Peter Norvig and speaker Gary Marcus explained why current AI is both morally and technically inadequate, and what we need to do as a society – and as individual citizens – to get to AI that works for all of us. This talk was recorded September 24, 2024 at Stanford University Speakers include: Gary Marcus, Emeritus Professor of Psychology and Neural Science, New York University (NYU); Founder and CEO, Geometric.AI Peter Norvig, Distinguished Education Fellow, Stanford HAI
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The Future of Third-Party AI Evaluation Workshop

28.10.2024
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