If a consequential decision is adverse to the consumer, the deployer must provide the principal reasons (including how the AI system contributed and the data used), an opportunity to correct incorrect personal data, and an opportunity to appeal for human review where technically feasible.
This control maps to 1 controls across 1 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 1 it maps to, and the evidence behind each claim, over MCP and REST.