Across the lifecycle an AI system should respect human rights, diversity and individual autonomy: machines serve people, not the reverse. Systems should support an equitable and democratic society by respecting, protecting and promoting human rights, enabling diversity and protecting the environment. Human rights risks need careful consideration; interference with certain rights is permissible only where reasonable, necessary and proportionate. People interacting with AI should keep full and effective control over themselves, and systems should not undermine the democratic process or threaten autonomy through deception, unfair manipulation, unjustified surveillance or a gap between disclosed purpose and actual behaviour. Systems should augment, complement and empower human cognitive, social and cultural skills, and organisations should ideally draw staff from diverse backgrounds, cultures and disciplines so that considerations noticed only by some stakeholders are not missed.
This control maps to 5 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 5 it maps to, and the evidence behind each claim, over MCP and REST.