Description
Human oversight is often treated as a vague ethical preference. This whitepaper argues for something much stricter: a control-plane model in which risk signals trigger mandatory human decisions, accountability is explicit, and evidence exists for what happened and why.
Rather than treating security, fairness, privacy, and governance as isolated disciplines, the paper shows how they can be connected through one oversight structure. That makes it useful for readers trying to think beyond abstract principles and toward enforceable operating design.
Inside the whitepaper:
- A structural framework for turning AI risk signals into required human review and decision points
- Clear treatment of roles, decision rights, and evidence trails across oversight functions
- A publication-ready argument for oversight as operating structure rather than aspiration
For readers who want a serious model of enforceable accountability around AI systems, this whitepaper provides the foundation.
