Session Details:
Date & Time: Wednesday, August 26 · 9:30–10:30 AM PT
Who It’s For: Deans, AoL directors, assessment leaders, and faculty at AACSB-accredited business schools.
What We Are Exploring
In Module 2, we explored what agentic AI workflows could look like in practice within Assurance of Learning.
Module 3 takes the next step: what needs to be in place for a workflow like this to be adopted responsibly inside an institution?
What We’ll Cover
The conversation is built around three questions:
Where does governance belong? We treat review checkpoints and approval gates as design decisions rather than a compliance review at the end. We want to test that with you.
What does your institution actually require? Data security, IRB, FERPA, procurement. We want to hear what the real gates are and who holds them.
What would responsible adoption look like on the ground? Including how you document AI’s role in a way a peer review team would accept.
You do not need to have any of this figured out. The schools we have spoken to are at very different stages, and that range is part of what makes the conversation useful.
Facilitators
Daisuke (Dai) Nishimura, Managing Director, Macnica
Dolma Rawat, Research Lead, Macnica
Jerelyn Co, AI Engineer, Macnica
About the Roundtable Discussion
Our roundtables are practitioner-led discussions built to explore emerging questions around AI and accreditation. They’re intended as a space for shared learning, thoughtful discussion, and exchanging perspectives across institutions.
Interested in Participating?
If this topic resonates with you and you’d like to take part in this roundtable or future ones, we’d love to hear from you.
Register using the button below. If you have any questions, reply to this post or get in touch—we’re always looking to bring new perspectives into the discussion.