The Institutional AI Readiness Pack and its accompanying [color=rgb(0, 102, 204)][url=https://mzyphur.github.io/ai-readiness/instruments.html][u]instruments catalogue[/u][/url][/color] is a university-wide assessment and implementation toolkit for responsible AI in research, spanning practice, people, policy, systems, procurement, data, disclosure, and oversight. It accompanies [color=rgb(0, 102, 204)][url=https://instats.org/publications/responsible-ai-in-academic-research][u]Responsible AI in Academic Research: A Competency Framework for Research Training[/u][/url][/color], which defines five dimensions of institutional readiness and the capabilities that underpin them. The pack turns that framework into instruments a university can use to get an evidence-based picture of how AI is actually used and governed across its research environment, along with ways to track that picture as it changes over time. In doing so, it connects institutional policy and strategic priorities directly with the everyday practices, capabilities, and experiences of researchers and graduate students.
— Read on instats.org/publications/the-institutional-ai-readiness-pack
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