apeiris .aiEthics
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AI Ethics, Fairness & Accountability Control Matrix — 50 structured controls for AI ethics governance: ethical foundations, bias assessment, explainability requirements, human rights due diligence, fairness monitoring, and EthicsAttestation. No login required.
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Ethics scope: governs whether AI-driven outcomes are fair, explainable, and accountable — ethics principles operationalization, bias assessment and monitoring, explainability, human interests, and ethics governance. Adjacent domains: Authority (what the agent is authorized to do), Agentic (behavioral enforcement), Privacy (personal-data protection), Compliance (regulatory obligations).
How to read a control card
IDLayer prefix + number — open any card for the full control.
Universal · FrontierThe capability tier the control applies to.
N fwHow many regulatory frameworks it maps to.
●●●○○ · labelMaturity — dots show what the field has typically reached; a label (e.g. “enforced”) is this control’s target.
A baseline control — applies to every agent.
⊕ Assessment Summary