Across the lifecycle an AI system should be inclusive and accessible and should not involve or result in unfair discrimination against individuals, communities or groups. Systems should be user-centric so that everyone interacting with them can access the related products or services, which requires appropriate consultation with stakeholders who may be affected and equitable access and treatment. Particular care is needed because AI can perpetuate societal injustice and fall disproportionately on vulnerable and underrepresented groups (for example by age, disability, race, sex, intersex status, gender identity or sexual orientation), and measures should ensure AI-produced decisions comply with anti-discrimination laws.
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.