Responsible AI Governance

Draft a governance blueprint for responsible AI adoption in a developing country context. Address data privacy and protection, algorithmic bias, safety and accountability, workforce disruption, and public trust. Propose roles for government, industry, academia, and civil society; suggest regulatory levers (standards, auditing, licensing) and voluntary frameworks; include risk assessment, impact assessment, monitoring metrics, and a scenario plan for misuse or crisis.