Breakout Group 3: Public Sector AI Procurement
Focus Area
This group examined the principles and metrics involved when public agencies procure AI systems. Using a concrete scenario — an AI system designed to detect housing conditions in a city — participants explored what principles matter most in the procurement process, what metrics or evidence should be provided to demonstrate those principles are being upheld, and how the answer differs depending on whether you are the procurer, the vendor, or someone else affected by the system.
Facilitators
| Table | Moderator | Notetaker |
|---|---|---|
| Table 9 | Ezinne Nwankwo (EAAMO) | Amulya Yadav (RAISE Lab) |
| Table 10 | Hana Samad (National Housing Alliance Responsible AI Lab) | Firdaus Choudhury (RAISE Lab), Caleb Finamore (RDS) |
| Table 11 | Serafina Kamp (EAAMO) | Tianrong Zhang (RAISE Lab) |
| Table 12 | Lydia Morin (CONNECTGov) | Aditya Nayak (Pitt) |
Day 1 Discussion: Surfacing Principles & Practices
November 6, 1:45–3:00 PM — Connolly Ballroom, Alumni Hall
Participants were asked to consider: What principles are most important in an AI procurement process, and what metrics or evidence would you expect — or be expected — to provide to demonstrate those principles are being upheld?
Synthesis Session
November 6, 7:00–9:00 PM — 3912 Wesley Posvar Hall
Day 2 Discussion: Organizing Principles & Practices
November 7, 1:45–3:00 PM — Connolly Ballroom, Alumni Hall
Related Themes
AI Governance Procurement Accountability Housing