Long-form work on AI, governance, and system design
I write long-form work at the intersection of AI systems, governance, political economy, and institutional design. My focus is not on tools or trends, but on how authority, legitimacy, and power are embedded into technical architecture long before regulation arrives.
This page highlights selected books and essays intended for scholars, system designers, and decision-makers working on data- and AI-driven systems.
Books
Governing AI
A living book on AI systems, authority, and legitimacy
This book contains my continuous learning and research on AI governance, developed for my students who I am training to become leaders in this space. It also my research on why post-hoc AI governance fails and argues that governance must be embedded directly into system architecture. It focuses on irreversible transfers, compounding value, and the limits of consent in data- and AI-driven environments.
The book develops a structural argument rather than a regulatory checklist, asking when authority should be allowed to settle in systems whose consequences cannot be known at the moment of agreement.
Status: Living manuscript
Current version: Online
Access: aigov.ogunseye.com