EPISODE · May 5, 2026 · 41 MIN
On the Brink of Reinvention-Effectively Governing AI
from ASU+GSV Summit Sessions · host ASU+GSV
Recorded live at the 2026 ASU+GSV Summit in San Diego, this session featured Krista Newkirk, President at University of Redlands; Bhushan Heda, CTO/COO at Emeritus; Stephen Green, Chief Partnerships Officer at Noodle; Noe Ortega, Commissioner at Massachusetts Department of Higher Education; and James DeVaney, Associate Vice Provost and Founding Executive Director of CAI at University of Michigan.Artificial intelligence was compressing decision timelines across higher education, often faster than governance and planning could absorb. This session examined how the challenge was not whether to act, but how to decide wisely: which AI choices demanded enterprise alignment, where local experimentation was essential, and how institutions could learn deliberately rather than react episodically. The speakers explored how governance, investment, and experimentation could work together to enable AI adoption that was responsible and durable—balancing urgency with stewardship, innovation with trust, and speed with long-term institutional integrity.
What this episode covers
Recorded live at the 2026 ASU+GSV Summit in San Diego, this session featured Krista Newkirk, President at University of Redlands; Bhushan Heda, CTO/COO at Emeritus; Stephen Green, Chief Partnerships Officer at Noodle; Noe Ortega, Commissioner at Massachusetts Department of Higher Education; and James DeVaney, Associate Vice Provost and Founding Executive Director of CAI at University of Michigan.Artificial intelligence was compressing decision timelines across higher education, often faster than governance and planning could absorb. This session examined how the challenge was not whether to act, but how to decide wisely: which AI choices demanded enterprise alignment, where local experimentation was essential, and how institutions could learn deliberately rather than react episodically. The speakers explored how governance, investment, and experimentation could work together to enable AI adoption that was responsible and durable—balancing urgency with stewardship, innovation with trust, and speed with long-term institutional integrity.
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On the Brink of Reinvention-Effectively Governing AI
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