Conversation – Paula Bogantes Zamora, Omar Al Olama, Sriram Krishnan (Moderator Samir Saran)
Summary
The panel examined AI diffusion pathways and measurement frameworks. Bogantes described Costa Rica’s AI‑for‑public‑service pilots (e.g., AI‑enabled traffic management). Al Olama outlined the UAE’s AI‑for‑Quality‑of‑Life strategy, focusing on AI‑driven agriculture and health projects exported to Africa. Krishnan shared the U.S. perspective on AI governance, emphasizing risk‑based regulation and public‑private cooperation.
Key consensus points:
- Metrics must capture social impact (e.g., lives saved, emissions reduced).
- Regulation should be outcome‑driven, not prescriptive technology bans.
- Cross‑border collaboration is essential for building trustworthy AI ecosystems.
Key Takeaways
- Impact‑centric metrics: Quantify AI’s contribution to health, education, and sustainability.
- Outcome‑based regulation: Focus on results rather than specific technical constraints.
- Global cooperation: AI standards, data sharing, and joint research accelerate responsible diffusion.