A recording is now available of a presentation about the ARL/CNI AI Scenarios by Cynthia Hudson Vitale of Johns Hopkins University. The talk was hosted by the EDUCAUSE Research Computing and Data Community Group (RCD CG) in June. Note that a passcode is required to access the video: URL: https://educause.zoom.us/rec/share/v4ZfNgz9MApfO6jLUcOkI0O6nUdx0M3TEQnNrXUIiMmsx6gwBzeH-js2ULFT1m_1.OwDc96X19L27ff9a Passcode: 6.*?@ucA

The presentation includes an overview of the scenarios, as well as discussion about how they can be used to spark strategic conversations and planning in research computing and data services. My thanks to EDUCAUSE and to the RCD CG for highlighting this work and for making the video openly available.

More information about the ARL/CNI AI Scenarios, including a link to the final set, is at https://www.arl.org/resources/the-arl-cni-2035-scenarios-ai-influenced-futures-in-the-research-environment/

-Diane Goldenberg-Hart, CNI