Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030

A research paper proposes adaptive risk management frameworks for governing frontier AI in public sectors through 2030, arguing that static compliance models are insufficient given rapid capability advancement and incomplete knowledge of AI harms. The work emphasizes that effective governance requires organizational redesign, stronger policy capacity, and scenario-aware regulation rather than purely technical solutions.