Standards and Regulation: UN agencies
Standards and Regulation · UN agencies. Norms and recommendations from UNESCO, ITU and others. This source has 4 entries admitted under this category's review policy; each links directly to the original.
Authority tiers in this category: A1.
UNESCO Recommendation on the Ethics of Artificial Intelligence
Establishes a global normative framework for AI ethics centered on human rights, the environment, transparency, fairness and accountability.
Evidence use: Supports the recommendation's principles, policy action areas and framework for member state implementation.
Limitations: A recommendation is not a directly enforceable international treaty. Countries implement it in different ways.
Related concepts: AI Governance and Regulation · Bias and Fairness · Human-in-the-loop (HITL)
Link last checked: 2026-09-24
UN General Assembly resolution on seizing the opportunities of safe, secure and trustworthy AI systems for sustainable development
Adopted by consensus; emphasizes human rights, the digital divide, capacity building and international cooperation on safe, secure and trustworthy AI.
Evidence use: Supports the resolution text, adoption date and international policy commitments.
Limitations: General Assembly resolutions generally do not create directly binding domestic obligations. A policy commitment, not a technical standard.
Related concepts: AI Governance and Regulation
Link last checked: 2026-09-24
Global Digital Compact
Sets goals for digital inclusion, data governance, cybersecurity and international cooperation on AI governance.
Evidence use: Supports the AI governance commitments and follow-up mechanisms in the Global Digital Compact.
Limitations: A political commitment, not directly applicable regulation. Implementation depends on subsequent national and UN action.
Related concepts: AI Governance and Regulation · Privacy and Data Compliance
Link last checked: 2026-09-24
Governing AI for Humanity: final report of the UN High-level Advisory Body on AI
Recommends an international scientific assessment, policy dialogue, capacity building and a global AI data framework, among other governance measures.
Evidence use: Supports the final governance recommendations of the UN advisory body.
Limitations: A recommendation report, not rules in force. Some recommendations require separate decisions by member states.
Related concepts: AI Governance and Regulation · Model Evaluation and Benchmarks
Link last checked: 2026-09-24