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On **November 21**, R/AI hosted **Training as Infrastructure** as part of the **New York AI Exchange**, bringing together participants from higher education, government, industry, and the nonprofit sector to examine how training, mentoring, facilitation, and user support can function as integral components of emerging AI infrastructure.
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The workshop built on insights from two earlier convenings led by Julia Stoyanovich: the ***NAIRR Community-Informed Policies and Best Practices Workshop*** (July 2024) and the ***New York AI Exchange Kick-Off Forum*** (September 2025.) Across these discussions, a consistent theme emerged: investments in initiatives such as <strong><a href="https://www.empireai.edu/">Empire AI</a></strong> and the <strong><a href="https://www.nsf.gov/focus-areas/ai/nairr">National AI Research Resource (NAIRR)</a></strong>.
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The workshop built on insights from two earlier convenings led by Julia Stoyanovich: the ***NAIRR Community-Informed Policies and Best Practices Workshop*** (July 2024) and the ***New York AI Exchange Kick-Off Forum*** (September 2025.) Across these discussions, a consistent theme emerged: investments in initiatives such as <strong><a href="https://www.empireai.edu/">Empire AI</a></strong> and the <strong><a href="https://www.nsf.gov/focus-areas/ai/nairr">National AI Research Resource (NAIRR)</a></strong>: AI infrastructure requires building human expertise as a resource, alongside compute, data, and software.
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Participants explored how this principle could be operationalized within Empire AI, emphasizing coordinated onboarding, project guidance, technical assistance, and shared resources to help institutions across New York effectively use new AI infrastructure.
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Participants explored how this principle could be operationalized within Empire AI, emphasizing coordinated onboarding, project guidance, technical assistance, and shared resources to help institutions across New York effectively use new AI infrastructure.

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