Trust Governance in AI Systems

Map AI governance landscapes across research, industry, and policy, treating trust as a central constraint. Analyze risks such as safety, privacy, bias, and accountability, compare models from voluntary standards to regulation, and propose an integrated framework for designing, auditing, and communicating AI systems that foster trust and responsible innovation.