Human oversight should leave evidence.
Human accountability needs a practical expression. A review step only helps when the reviewer has the context, authority, and time to exercise judgment.
Make the reasoning inspectable.
Reviewers need access to the source evidence, assumptions, uncertainty, and plausible alternatives behind a recommendation. A polished answer alone can make disagreement harder. The workflow should make a challenge possible.
Define what approval means.
Approval should correspond to a real decision: what is being authorized, which boundaries apply, and who owns the result. The right review differs across a draft summary, a customer communication, and an action that changes an operational system.
Learn from overrides.
Track where people change or reject recommendations and what happens afterward. Review both model failures and human mistakes. Those cases strengthen evaluation, improve the workflow, and develop the people using it.
A question for your team.
Could a reviewer explain why a recommendation was accepted, what was challenged, and who remains accountable?
Sheertelligence perspectives · September 2026