AI Transparency Standards
Normative standards for the transparency and explainability of AI systems, with technical specifications, documentation schemas, and a tiered conformance framework.
Summary
What this standard requires, in brief
A conforming organization shall document its AI systems across four layers—system, model, data, and decision—using standardized artifacts with specified required fields; shall offer explanations calibrated to their audience and honest about their faithfulness; shall give individuals subject to consequential automated decisions meaningful notice, an intelligible explanation, and a route to appeal; and shall manage the genuine tensions between transparency and privacy, security, gaming, and intellectual property through documented, defensible tradeoffs rather than blanket opacity. The depth of every obligation is set by one of three conformance levels, chosen according to the system's consequence and context.
Normative standards for the transparency and explainability of AI systems, with technical specifications, documentation schemas, and a tiered conformance framework.
How to cite this report
AI Transparency Standards. FAIR Labs Standards Document. Fair Artificial Intelligence Research Labs, 2025. Available at https://fairlabs.ai/research/ai-transparency-standards
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