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.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.