AI ACTAI GOVERNANCE OBSERVATORY

01 / THE REGULATORY LANDSCAPE A working map of UK law · aiact.uk

The UK already regulates AI. Nobody is conducting.

There is no single, comprehensive UK AI Act. This map brings together thirty-eight entries that shape artificial intelligence — statutes, regulations, bills in progress, standards and oversight bodies — administered by multiple bodies whose responsibilities overlap. The missing piece is not a thirty-ninth instrument. It is the layer that makes the existing framework work together.

About this map and its evidence

The 38 entries are this map's selection of laws, proposed legislation, standards and oversight bodies. Their legal status and territorial scope differ; a bill or voluntary standard is not an existing statutory duty. The proposed orchestration layer is a policy argument.

The orchestration argument and proposed duties are the author’s policy position.

Key legal claims and parliamentary status reviewed 15 September 2026. Scope and commencement vary by instrument.
The proposed orchestration layer — making existing duties work together

What sits underneath

Select any instrument to read what it covers and where it stops.

The case

A single statute was never the missing piece

Arguments about UK AI regulation usually collapse into one question: do we copy the EU or not. That question skips the more useful one. What does the law already do, and what breaks when thirty-eight regimes meet one technology?

An organisation deploying a model into a hiring process can face overlapping duties: data protection law on the processing, equality law on the outcome, employment law where applicable, and contract law on the tooling it bought. Consumer law is also relevant where consumer relationships are involved. The organisation can receive partial answers, and existing coordination arrangements do not guarantee a single route through every overlapping duty.

That is an orchestration failure, not a coverage gap. It is not fixed by writing a new set of duties; it is fixed by legislating for how the existing duties are coordinated, resolved and surfaced.

Orchestration is not a supporting arrangement around the regulations. It is one of the regulations, and it has to be drafted like one.

Memoranda of understanding between regulators are not enforceable by the person harmed. A voluntary forum can be defunded. If coordination matters enough that the regime fails without it, it belongs in the statute — with named duties, named holders, and a route to challenge when it does not happen.

  • Coverage is wide, not thin

    From equality law to medical devices to automated vehicles, many AI harms already have a statutory home. The Automated Vehicles Act 2024 sets out a detailed sector-specific safety framework, with full implementation planned for the second half of 2027.

  • The definitions do not match

    The mapped frameworks use different concepts, definitions and thresholds. Compliance teams must translate between them as well as put controls in place.

  • Nobody holds the whole picture

    Regulators see different parts of the picture. There is no comprehensive cross-sector register of consequential AI use, which can make systemic patterns harder to identify before harm occurs.

  • The person harmed carries the burden

    Someone refused a loan, a place or a job by an automated system may have to navigate different complaint, regulator and court routes to challenge the decision.

The instrument map

Thirty-eight entries that shape AI governance

Grouped by the harm they address rather than by the department that owns them. Each entry records the responsible body, its relevance to AI, its legal status and the limits of its scope.

What the layer must do

Seven functions, each drafted as a duty

An orchestration layer earns its place only if it is specific. These are the seven things the existing thirty-eight cannot do for themselves, each written as something a named body owes and a person can enforce.

01

One set of definitions

A single statutory vocabulary for AI system, developer, deployer and automated decision, applied across the instruments by amendment rather than by guidance. Regulators keep their thresholds; they stop keeping their own dictionaries.

Precedent: the common definitions used across the NIS Regulations 2018 and its successor bill.
02

A register of use

A statutory record of consequential AI use in public services and regulated sectors — what it is, who deploys it, what it decides. The Algorithmic Transparency Recording Standard already provides a record for in-scope tools in central government departments and relevant arm's-length bodies. The model works; the scope and the statutory footing are what is missing.

Precedent: Algorithmic Transparency Recording Standard, DSIT.
03

One incident route

A single duty to report serious AI-caused harm, routed by the receiving body to whichever regulator owns it. Data breach reporting and NIS incident reporting already prove that a fixed clock plus a fixed recipient works.

Precedent: UK GDPR breach notification; NIS incident reporting.
04

Assurance before deployment

For high-consequence settings only, evidence of testing and control presented before use, not after complaint. The Automated Vehicles Act 2024 sets out an authorisation scheme of this shape for one sector, with full implementation planned for the second half of 2027.

Precedent: Automated Vehicles Act 2024 authorisation; MHRA AI Airlock.
05

Coordination with teeth

A statutory duty on the principal regulators to resolve overlaps, run joint casework and publish where they disagree. The Digital Regulation Cooperation Forum does this voluntarily today, which means it can stop.

Precedent: Digital Regulation Cooperation Forum; DMCC Act 2024 coordination duties.
06

A bounded sandbox

Cross-cutting sandbox powers were announced in the 2026 King's Speech. Orchestration is what keeps them honest: published red lines, a time limit, a named decision-maker and a public record of every rule relaxed and why.

Proposed precedent: Regulating for Growth Bill, announced 13 May 2026; introduction still awaited.
07

One door for redress

A person harmed by an automated decision should be able to bring it to one place and be routed onward. They should not have to identify the correct regulator in order to be heard.

Related models: the DRCF AI and Digital Hub coordinates advice for innovators; the Financial Ombudsman Service resolves eligible financial complaints.

Where it runs out

The genuine holes, separated from the noise

Existing law reaches many AI harms, but coverage, assurance and enforcement remain uneven. These are areas where additional or clearer duties may be needed.

  • Frontier training and compute

    There is no general UK authorisation requirement triggered solely by training a model above a specified capability threshold. Existing data, copyright and other laws can still apply; frontier safety commitments remain largely voluntary.

  • Open-weight release

    Publishing weights makes downstream use harder to trace and control. Existing data protection, equality, consumer and sectoral laws still apply where their conditions are met, but there is no general UK regime governing open-weight release itself.

  • Agentic systems

    Existing contract, consumer and other laws continue to apply when software acts on someone's behalf. Greater autonomy raises difficult questions about authority, oversight and how responsibility is allocated across a supply chain.

  • Models as components

    Product liability assumes a defective product. A model supplied as a component into someone else's service sits awkwardly against the Consumer Protection Act 1987.

  • Synthetic media provenance

    There is no general UK labelling or provenance obligation at the point of creation. Existing consumer, content and other duties may still apply to particular tools, services and uses.

  • Automated hiring and access

    There is no universal standalone approval scheme for automated hiring. Existing duties can require assessment before use, including a data protection impact assessment for likely high-risk processing and equality consideration by public bodies.

  • Training data transparency

    Copyright applies to protected reproductions, but there is no general UK duty to publish the training corpus. Limited visibility can make rights enforcement difficult.

  • Insurance and capital

    There is no general AI-specific insurance or capital requirement across all deployments. Sector-specific insurance and prudential rules may still apply.

In Parliament

What is actually moving

The UK's direction has been incremental — amend the regimes that exist rather than replace them. That makes the orchestration question more urgent, not less.

No comprehensive AI bill in the 2026 King's Speech

The State Opening on 13 May 2026 set out the legislative programme without a comprehensive artificial intelligence bill. The Lords Library's background briefing described the UK's contextual approach: existing legal frameworks regulate AI according to how and where it is used.

13 May 2026

Cyber Security and Resilience (Network and Information Systems) Bill

Introduced in the Commons in November 2025 and carried into the 2026–27 session. It is now in the House of Lords; the latest bill text was amended in Grand Committee on 7 September 2026, with report stage next. It would amend the NIS Regulations 2018 — widening scope to managed service providers and data centres, strengthening incident reporting, and creating powers to direct organisations on national security grounds. A significant proposed change to the AI operating environment.

Lords stages

Regulating for Growth Bill

Announced in the 2026 King's Speech. The proposed bill would create controlled sandbox powers to test innovations and possible changes to existing rules, including cross-sector AI uses. In a written answer on 10 September 2026, the government said introduction would follow when parliamentary time allows.

Announced

Data (Use and Access) Act 2025

Already on the statute book, with implementation in stages. Its reforms to solely automated decision-making commenced on 5 February 2026; it also establishes frameworks for digital verification services and smart data schemes. A significant AI-relevant change to UK law arrived inside a data bill.

Enacted; phased commencement
The precedent

In 1974, the people who built the technology stopped it themselves

What lasted from the recombinant DNA moratorium was not the pause. It was risk assessment, classification, notification before starting, graded controls and a standing expert committee — the same pattern the seven functions above describe.

Using this map

Built to be argued with

This page is maintained as a working document rather than a publication. If an entry is wrong, out of date, or missing an instrument that should be on it, that is worth knowing — the map is only useful if it is accurate.

It is intended for policy teams, regulators, boards and anyone who has to answer the question "which law applies to this" before deploying a system.

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