Artificial intelligence is no longer experimental in public institutions. It is embedded in the systems that shape decisions, allocate resources, assess risk, and determine outcomes-often without clear lines of accountability.
Governing AI: A Blueprint for Responsible Leadership examines what happens to authority and responsibility when decision-making is distributed across humans and intelligent systems. Written for leaders, policymakers, and institutional decision-makers, the book argues that governance failures rarely stem from bad intentions. They arise from structural gaps-unclear authority, fragmented oversight, and reduced visibility-that allow risk to accumulate quietly over time.
Rather than offering technical prescriptions or ethical slogans, Governing AI provides a governance framework focused on institutional readiness. It shows how accountability, oversight, and legitimacy must be deliberately designed when intelligence participates in judgment and enforcement.
This is not a guide to AI adoption. It is a blueprint for governing power responsibly in an age of intelligent systems.