AI Oversight Committee

A AI Oversight Committee is a multi-stakeholder governance committee that monitors AI system deployment and enforces AI safety compliance.

• AKA: AI Safety Board, AI Governance Committee, AI Control Board, AI Regulatory Committee.
• Context:
  • It can typically review AI Capability Assessments before model deployments.
  • It can typically enforce Safety Protocols through compliance monitorings.
  • It can typically balance Innovation Goals with risk mitigations.
  • It can typically coordinate Stakeholder Interests across government and industrys.
  • It can often include Technical Experts, ethicists, and policy makers.
  • It can often mandate Safety Evaluations and red team exercises.
  • It can often establish Deployment Guidelines and usage restrictions.
  • It can range from being a Company AI Oversight Committee to being a National AI Oversight Committee, depending on its jurisdiction scope.
  • It can range from being an Advisory AI Oversight Committee to being a Regulatory AI Oversight Committee, depending on its authority level.
  • It can range from being a Technical AI Oversight Committee to being a Multidisciplinary AI Oversight Committee, depending on its expertise composition.
  • It can range from being a Reactive AI Oversight Committee to being a Proactive AI Oversight Committee, depending on its intervention timing.
  • ...
• Example:
  • Government AI Oversight Bodys, such as:
    • US National AI Safety Board overseeing federal AI deployments.
    • EU AI Regulatory Committee implementing AI Act compliance.
    • UK AI Safety Institute conducting capability evaluations.
  • Corporate AI Governance Committees, such as:
    • OpenAI Safety Committee reviewing model release decisions.
    • Google AI Principles Council enforcing ethical guidelines.
    • Microsoft Responsible AI Board managing deployment risks.
  • Joint Oversight Structures, such as:
    • Public-Private AI Partnerships for frontier model governance.
    • International AI Cooperation Bodys for global standards.
  • ...
• Counter-Example:
  • AI Development Team, which builds rather than oversees systems.
  • Research Ethics Board, which reviews study protocols not AI deployments.
  • Technical Standards Committee, which sets specifications not governance policys.
  • User Advisory Group, which provides feedback not regulatory oversight.
• See: AI Governance Framework, AI Governance Body, AI Safety Protocol, AI Risk Assessment, AI Ethics Committee, Regulatory Compliance, Model Release Decision, AI Alignment Task, Government Oversight, Corporate Governance, Multi-Stakeholder Governance, AI Audit, Red Team Exercise, Responsible AI.

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