The Harvard Law Review article advocates a co-governance model for AI regulation that involves governments, industry, civil society, and impacted communities working collaboratively. It argues traditional top-down rules fall short for AI’s complexity and urges transparency, inclusivity, and shared responsibility. This approach aims to balance innovation with accountability, embedding ethical oversight and continuous stakeholder dialogue. Legal professionals and policymakers will find this framework essential for crafting adaptable, equitable AI governance in an evolving tech landscape.