Operate human oversight + redress + contestation per OECD AI Principles. Human oversight must (a) implement appropriate human-in-the-loop + human-on-the-loop + human-out-of-the-loop based on risk + impact + context + with documented decision per AI system, (b) ensure human override capability + escalation pathway + delegation policy + (c) support human reviewer capability through training + tooling + workload management + decision support, (d) prevent automation bias through review independence + sample testing + outcome monitoring. Redress and contestation mechanisms must (a) provide effective + accessible + and proportionate mechanisms for affected individuals to challenge AI decisions including appeal + investigation + remediation, (b) document the redress process + timelines + decision criteria + remediation options, (c) preserve records sufficient to support contestation including model state + inputs + decision rationale + (d) align with regulator + jurisdiction-specific redress requirements (EU AI Act Article 86 + GDPR Article 22 + similar) + (e) integrate with broader complaints + ombudsperson + dispute resolution + litigation processes.
This control maps to 6 controls across 4 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.
Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.
The graph holds this control, the 6 it maps to, and the evidence behind each claim, over MCP and REST.