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Van Ton-Quinlivan is a nationally recognized thought leader in workforce development, quoted in The New York Times, Chronicle of Higher Education, Stanford Social Innovation Review, U.S. News & World Report, and other publications.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
Her career spans the public, private, and non-profit sectors. Most recently, she served as executive vice chancellor for the nation’s largest system of higher education – the California Community Colleges -- and grew public investment in workforce programs from $100M to over $1B during her tenure. Her talk outline current higher education reforms, present provocations on how the future of work may unfold, and highlight where our social structures must evolve for the workforce development challenges ahead.