Project update (progress + advisor confirmed)
I’ve begun the initial landscape mapping of AI governance mechanisms, focusing on where technically sound proposals break down at the institutional and implementation layer. This work is shaping a shallow-but-wide taxonomy designed for operational use, not theory alone.
Dr. Chinasa Okolo (Brookings / UN-affiliated AI governance specialist) is advising on this project in an active capacity, stress-testing the taxonomy against real policy constraints so the outputs are legible and usable by policymakers and program designers.
As additional context, I completed BlueDot Impact’s AGI Strategy course in late December, which helped refine how this work situates governance mechanisms within current alignment and deployment debates, particularly where strategic proposals fail in practice.
Why fund this now
Policy window: Governance decisions are outpacing the consolidation of implementation lessons.
Leverage: Funding accelerates synthesis, validation, and dissemination, not exploratory research.
Gap coverage: This targets the under-mapped implementation layer between alignment research and institutional reality.
Happy to answer questions