Law, regulation and governance
About 25 minutes · plain language
Rules about AI now come from several levels at once: global, regional, national, health authority and your own workplace. In this lesson you will learn how these layers fit together and what “human oversight” means in daily practice.
- Know which laws and national rules apply where you work.
- Explain what “human oversight” means in daily practice.
Key terms
- Principle or guidance
- Advice that sets direction but is not legally binding.Example: The OECD AI Principles.
- Law or regulation
- Rules that are legally binding, with duties and penalties.Example: The EU AI Act.
- Treaty
- A binding agreement between states that join it.Example: The Council of Europe Framework Convention on AI.
- Regulator
- A public body that decides what may be sold or used, and checks compliance.Example: The FDA (USA), MHRA (UK) or Saudi FDA.
- Medical device approval
- Permission from a regulator to sell a product, including software, that diagnoses, monitors or treats.Example: Approval of an AI tool that reads mammograms.
- Human oversight
- A trained person can understand an AI output, notice when it is wrong, and decide not to follow it.Example: A nurse who overrides a low-risk score because the patient looks unwell.
- Data-protection law
- A law that controls how personal data, including health data, may be collected, used, stored and sent abroad.Example: Oman’s Personal Data Protection Law (Royal Decree 6/2022).
- High-risk AI
- In the EU AI Act, AI used in areas where errors can seriously harm health, safety or rights; it carries extra duties.Example: Many AI tools that are part of medical devices.
Five layers of rules
The figure shows five layers. At the top are global principles from WHO, UNESCO, the OECD and the UN. Then come regional rules such as the EU AI Act, the Council of Europe Convention and the Gulf AI ethics manual. Next are national laws and regulators. Some health authorities set their own rules. Finally, your institution has its own policy. Lower layers are usually more specific and closer to your daily work, but how binding a rule is depends on its type, not its layer: the EU AI Act binds everyone it covers, while a global principle binds no one directly.
Principles versus law
Principles from the OECD, UNESCO and WHO guide policy but do not bind you directly. Laws and regulations do. The EU AI Act is binding law in the European Union; it sorts AI by risk and sets strict duties for high-risk uses, including human oversight. The Council of Europe Convention is the first binding international treaty on AI, for the states that join it.
Medical devices
Medical-device regulators such as the FDA, the MHRA and the Saudi FDA decide which clinical AI tools may be sold, and what evidence makers must provide. Regulators have agreed ten principles of good machine learning practice, covering data quality, representative data, human-AI teamwork and monitoring after launch.
The Gulf
Gulf countries have national AI policies, and health-specific rules exist in Saudi Arabia (for AI medical devices), Abu Dhabi and Dubai. Abu Dhabi’s Responsible AI Standard is mandatory for every licensed health facility that develops, buys or uses AI. Oman’s national policy (Circular 11/2025) sets out principles and expectations for government bodies and regulated institutions, covering human oversight, data protection and documentation. It is a policy rather than a law, but it shows what Omani institutions are expected to do.
Data-protection law applies too
Laws that are not about AI still apply to AI. The most important for health workers are data-protection laws: the EU General Data Protection Regulation (GDPR), Oman’s Personal Data Protection Law (Royal Decree 6/2022), Saudi Arabia’s Personal Data Protection Law and similar laws elsewhere. They treat health data as sensitive, require a lawful reason to use them, and limit sending them outside the country. Pasting patient details into an AI service hosted abroad can breach these laws even if the tool itself is approved.
Human oversight in practice
Oversight is not a signature on a form. It needs three things: knowledge (staff understand what the tool does and how it fails), time (staff can actually check outputs), and authority (staff are allowed to disagree with the tool without blame).
Case: a European triage tool in Muscat
A hospital in Muscat wants an AI triage tool made by a European company. The team checks four layers: the tool’s device approval, Oman’s national AI policy, the hospital’s own AI policy, and who on each shift is trained and authorised to override the tool. They find that the hospital policy does not yet say who can override, so they add it before going live.
Common mistakes
- Assuming only one country’s rules apply.
- Treating “human in the loop” as a formality.
- Forgetting your own institution’s policy.
Check your understanding
1. What is the difference between the OECD AI Principles and the EU AI Act?
The OECD Principles are guidance; the EU AI Act is binding law.
2. Name the three things real human oversight needs.
Knowledge, time and authority.
Try it
- Write down the rules that apply to you at each of the five layers. Where you find none, note the gap.
Remember
- Rules come in layers: global, regional, national, health authority, institution.
- Principles guide; laws bind.
- Human oversight needs knowledge, time and authority.
- Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union. 2024; as amended in 2026. eur-lex.europa.eu
- Council of Europe. Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (CETS No. 225). Strasbourg: Council of Europe; 2024. www.coe.int
- OECD. Recommendation of the Council on Artificial Intelligence (OECD/LEGAL/0449). Paris: OECD; 2019, revised 2024. legalinstruments.oecd.org
- International Medical Device Regulators Forum. Good machine learning practice for medical device development: guiding principles (IMDRF/AIML WG/N88 FINAL:2025). IMDRF; 2025. imdrf.org
- Saudi Food and Drug Authority. Guidance for artificial intelligence and machine learning (AI/ML)-enabled medical devices (MDS-G010). Riyadh: SFDA; 2023. www.sfda.gov.sa
- Department of Health – Abu Dhabi. Responsible Artificial Intelligence (AI) Standard (DoH/ST/DDGO/RAI/V1/2025). Abu Dhabi: DoH; 2025. www.doh.gov.ae
- Ministry of Transport, Communications and Information Technology, Sultanate of Oman. Public policy for the safe and ethical use of artificial intelligence systems (Circular No. 11/2025). Muscat; 2025. decree.om
- Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data (General Data Protection Regulation). Official Journal of the European Union. 2016;L119:1-88. eur-lex.europa.eu
- Sultanate of Oman. Royal Decree No. 6/2022 promulgating the Personal Data Protection Law. Muscat; 2022. decree.om
Lesson text is our own plain-language summary of these sources; it is not endorsed by their authors. Check the original before relying on any detail.