Artificial Intelligence Policy Tracker

AI compliance obligations

Practical requirements extracted from policy instruments, with the source article, the actors they bind, evidence examples and original framework mappings. Legal requirements are marked; everything else is voluntary guidance.

Results

129 obligations · page 6 of 6 · Download these as CSV

Voluntary guidance Safety testing and evaluation United States

Measure and test trustworthiness characteristics (Measure)

NIST AI RMF · MEASURE function

Measure covers selecting metrics and test methods, evaluating validity, safety, security, resilience, explainability, privacy, fairness and bias, and monitoring these over time, including through independent review and red-teaming for generative AI.

Pending review (a factual check against the official source, not a legal review)
Voluntary guidance Transparency and disclosure United Kingdom

Provide appropriate transparency and explainability

UK AI regulation framework · Principle 2, Part 3

Organisations should communicate when and how AI is used and provide explanations proportionate to the risk, so that people can understand decisions affecting them. For personal data, UK GDPR transparency and automated decision-making rights make this binding in practice.

Pending review (a factual check against the official source, not a legal review)
Voluntary guidance Transparency and disclosure Singapore

Report incidents and mark AI-generated content (generative AI framework)

Singapore Model AI Governance Framework · Generative AI framework, dimensions on incident reporting and content provenance

The generative-AI framework recommends incident-reporting channels and processes for AI harms, and content provenance measures such as digital watermarking and cryptographic provenance so that users can identify AI-generated content.

Pending review (a factual check against the official source, not a legal review)
Voluntary guidance Vendor and supply-chain governance Australia

Provide contestability, supply-chain transparency and records (guardrails 7 to 9)

Australian Voluntary AI Safety Standard · Guardrails 7, 8 and 9

Establish processes for people impacted by AI to challenge use or outcomes; be transparent with other organisations across the AI supply chain about data, models and systems; and keep and maintain records to allow third parties to assess compliance.

Pending review (a factual check against the official source, not a legal review)

Frequently asked questions

What is an obligation on this site?

A single practical requirement pulled out of an instrument and stated on its own: keep a risk management system, log incidents, document training data, provide human oversight, and so on. Each one cites the article or section it comes from so you can check it against the source.

Does a voluntary obligation have legal force?

No, and every obligation is labelled either a legal requirement or voluntary guidance. Voluntary items still matter in practice, because procurement questionnaires and auditors ask about them, but only the binding ones carry legal consequence.

How do I find the obligations that apply to my organisation?

Filter by jurisdiction, category, actor, sector or use case. The applicability check asks a short set of questions and returns the duties that may reach you. It is an educational screen, not a legal determination, and it says so.

Why do some instruments have no obligations listed?

Because nobody has broken them out yet. Most instruments are recorded at summary level first; obligations are added jurisdiction by jurisdiction. The coverage and open-gaps pages publish exactly what is missing rather than hiding it.