Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
Polityka dla rozwoju sztucznej inteligencji w Polsce od roku 2020
Adopted by resolution of the Council of Ministers in December 2020, the policy sets goals for AI in society, business, science, education, international cooperation and the public sector, with short-, medium- and long-term actions and an ethics and trustworthy-AI dimension.
Adopted 28 Dec 2020Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Roadmap for the regulation of artificial intelligence in Ukraine
Published in October 2023, the roadmap sets a two-stage, bottom-up approach: first voluntary instruments (white paper, general and sector recommendations, a self-assessment tool, a code of conduct and regulatory sandboxes) to help businesses prepare, then a law on AI harmonised with the EU AI Act, timed with Ukraine's EU accession path.
Adopted 1 Oct 2023Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
A five-year strategy for responsible and inclusive AI growth, with ten early actions due by the end of March 2027, delivered through the AI Scotland programme. It builds on the 2021 strategy for trustworthy, ethical and inclusive AI.
Pending review (a factual check against the official source, not a legal review)Official source
A public register of AI systems in use or in development in the Scottish public sector. The government announced in March 2024 that registration would become mandatory, starting with its own departments, but a 2025 freedom-of-information response describes the register as voluntary with an expectation that public bodies use it.
Pending review (a factual check against the official source, not a legal review)Official source
Tamil Nadu Safe and Ethical Artificial Intelligence Policy 2020
Recommends a six-dimension framework (TAM-DEF: transparency and audit, accountability and legal issues, misuse protection, digital divide and data deficit, ethics and fairness, equity) and a DEEP-MAX scorecard for deploying AI in government, with AI procurement guidelines.
Adopted 18 Sep 2020Pending review (a factual check against the official source, not a legal review)Official source
A six-pillar framework for AI in Telangana (data exchange; talent and education; research and innovation; high-performance computing; governance, ethics and privacy; adoption and community), run by the Telangana AI Mission with NASSCOM.
Pending review (a factual check against the official source, not a legal review)Official source
UAE National Strategy for Artificial Intelligence 2031
The UAE National Strategy for AI 2031 aims to position the UAE as a global leader in AI by 2031. It sets objectives across priority sectors, AI talent and research, data and infrastructure, government adoption and governance, including a commitment to AI ethics and to developing appropriate regulation. It is a strategy document that guides government programmes and does not itself impose obligations on private organisations.
Adopted 16 Oct 2017Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
A pro-innovation approach to AI regulation (white paper and government response)
The UK white paper sets out a principles-based, context-specific approach to regulating AI. Instead of a single AI law, it asks existing regulators to interpret and apply five cross-cutting principles within their remits: safety, security and robustness; appropriate transparency and explainability; fairness; accountability and governance; and contestability and redress. Central government provides coordination, monitoring and guidance.
Adopted 29 Mar 2023Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
UN General Assembly resolution A/RES/78/265: Seizing the opportunities of safe, secure and trustworthy artificial intelligence systems for sustainable development (21 March 2024)
The first General Assembly resolution on AI, adopted by consensus with more than 120 co-sponsors, encourages states to promote safe, secure and trustworthy AI systems that respect human rights and advance the Sustainable Development Goals, to close digital divides, and to develop governance frameworks and interoperable safeguards; it calls on companies to act responsibly. It was followed by resolution A/RES/79/325 (August 2025) establishing an Independent International Scientific Panel on AI and a Global Dialogue on AI Governance under the Global Digital Compact.
Adopted 21 Mar 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
UNESCO Recommendation on the Ethics of Artificial Intelligence (adopted by the General Conference, 23 November 2021)
The first global normative instrument on AI ethics. It sets values (human rights and dignity, environment and ecosystem flourishing, diversity and inclusiveness, peaceful and just societies) and principles (proportionality and do no harm, safety and security, fairness, sustainability, privacy, human oversight, transparency and explainability, responsibility, awareness and literacy, multi-stakeholder governance), and eleven policy action areas from ethical impact assessment and data policy to gender, education, health and the environment. UNESCO supports implementation with a Readiness Assessment Methodology (RAM) and an Ethical Impact Assessment tool used by dozens of countries.
Adopted 23 Nov 2021Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Anything a government or standards body has actually issued: acts, regulations, executive orders, rules, national strategies, frameworks, guidance, codes of practice, voluntary standards and open consultations. Each record states which of those it is, whether it binds anyone, and links the official source it was read from.
Are these records legally verified?
A record is marked verified only after a named reviewer has opened its official source and confirmed each field. Anything that has not been through that carries "pending review" on the record itself, and the data-health document reports the current totals. Nothing here is legal advice.
How current is the information?
Every record carries the date its source document was published and the date it was last checked. A record not re-checked within the freshness window set by the verification policy is flagged as stale rather than quietly presented as current.
Can I reuse this data?
Yes. The records are published under CC BY 4.0 with attribution, and are available as CSV, newline-delimited JSON and a read-only REST API that needs no key. Cite the record URL, the date accessed and the official source alongside it.
