Artificial Intelligence Policy Tracker

AI policy explorer

Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.

Results

26 of 244 instruments match · page 2 of 2

New South Wales (Australia) Act / statute Partially applicable Binding

NSW digital work systems act 2026

Work Health and Safety Amendment (Digital Work Systems) Act 2026 (NSW) (Act No 5 of 2026)

Makes it a primary duty of a person conducting a business or undertaking to ensure that workers' health and safety is not put at risk by "digital work systems" (an algorithm, AI, automation or online platform), and lets WHS entry-permit holders ask to inspect those systems.

Adopted 18 Feb 2026 Pending review (a factual check against the official source, not a legal review) Official source
New York (United States) Act / statute In force Binding

NYC Local Law 144 (automated employment decision tools)

New York City Local Law 144 of 2021 on Automated Employment Decision Tools (AEDT) and DCWP implementing rules

Employers and employment agencies may not use an automated employment decision tool to screen candidates or employees for hiring or promotion in New York City unless the tool has had an independent bias audit within the past year, a summary of the audit results is published, and candidates receive at least ten business days' notice of the tool's use, the job qualifications assessed, and how to request an alternative process or accommodation. The bias audit calculates selection and scoring impact ratios by sex, race/ethnicity and intersectional categories. Enforcement began 5 July 2023.

Applies from 5 Jul 2023 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Spain Regulation In force Binding

Royal Decree 817/2023 (AI regulatory sandbox)

Real Decreto 817/2023, de 8 de noviembre, que establece un entorno controlado de pruebas para el ensayo del cumplimiento de la propuesta de Reglamento de IA

Establishes Spain's controlled testing environment (sandbox) for providers of high-risk AI systems to test compliance with the then-proposed EU AI Act requirements: risk management, data governance, documentation, transparency, human oversight, accuracy and robustness. Participation is voluntary; participants receive guidance and produce documentation that feeds into national implementation.

In force 10 Nov 2023 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Schleswig-Holstein (Germany) Act / statute In force Binding

Schleswig-Holstein AI in administration act (ITEG)

Schleswig-Holstein IT Deployment Act (ITEG): Act on the use of data-driven information technologies in public administration

Gesetz über die Möglichkeit des Einsatzes von datengetriebenen Informationstechnologien bei öffentlich-rechtlicher Verwaltungstätigkeit (IT-Einsatz-Gesetz – ITEG)

Allows public administration to use AI and other data-driven IT as a general rule, with listed exclusions (for example, it may not be used to issue administrative acts involving discretion), and gives people a specific remedy, the "AI complaint" (KI-Rüge).

Adopted 16 Mar 2022 Pending review (a factual check against the official source, not a legal review) Official source
Shanghai (China) Regulation In force Binding

Shanghai AI regulations (2022)

Regulations of Shanghai Municipality on Promoting the Development of the Artificial Intelligence Sector

上海市促进人工智能产业发展条例

Promotes the AI industry and names the economy and informatization department as lead regulator; sets up a strategy advisory committee and an AI ethics expert committee; bans certain uses such as discrimination and algorithmic price discrimination; applies list-based compliance review to high-risk AI products and disclosure with after-the-fact control to lower-risk ones; and allows sandbox supervision.

In force 1 Oct 2022 Pending review (a factual check against the official source, not a legal review) Official source
Australia Consultation Under consultation

Australian mandatory guardrails proposal

Proposals paper: introducing mandatory guardrails for AI in high-risk settings (Australia)

The proposals paper sought views on ten mandatory guardrails for developers and deployers of AI in high-risk settings, a principles-based definition of high-risk AI (with general-purpose AI treated as high-risk), and three regulatory options: adapting existing laws, framework legislation, or a new cross-economy AI Act. The guardrails mirror the Voluntary AI Safety Standard, covering accountability, risk management, data governance, testing, human control, transparency, contestability, supply-chain transparency, records, and conformity assessment.

Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source

Frequently asked questions

What counts as an AI policy instrument here?

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.