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University of California presents systemwide AI strategy to scale research, teaching and clinical tools
Summary
University of California leaders told the Regents the system is pursuing a coordinated artificial intelligence strategy focused on shared computing infrastructure, workforce training, clinical governance and industry partnerships, while acknowledging data‑privacy and funding questions that will return to the board in November.
University of California officials outlined a systemwide artificial intelligence strategy to the Board of Regents, describing plans to scale computing infrastructure, expand workforce training and apply governance to clinical and research uses of AI.
Van Williams, vice president and chief information officer, said the system’s goal “is quite simply to be the world’s higher education leader in AI,” and described three strategic pillars: investments in shared computational and data infrastructure, research and innovation hubs, and a composable learning stack to accelerate adoption across campuses.
The strategy aims to move the UC system “from a diverse set of scattered pilots and proof of concepts to durable and meaningful services,” Williams said, listing partnerships with OpenAI, Microsoft, Google, Adobe, Salesforce and NVIDIA that the presenters said broaden available tools and licensing for campuses.
Why it matters: Regents were told that big‑scale AI workloads require resources beyond a single campus. Officials argued systemwide arrangements…
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