AI Governance for Dual-Use Tech
Outline a governance framework for dual-use AI technologies that balances innovation with security, including risk assessment processes, accountability mechanisms, licensing or certification regimes, industry standards, and international cooperation. Address incident response planning, information-sharing protocols, privacy concerns, and ethical considerations. Discuss governance challenges, measurement metrics, and a phased path from pilot programs to broad adoption while preserving resilience of critical infrastructure.
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