Artifact GuideUKAI and Automated Decisions

UK GDPR AI and Automated Decisions

Start with the decision and its effect, not the presence of AI. Articles 22A-22D apply specific restrictions and safeguards when a has no meaningful human involvement.

Use this guide for implementation planning, not as a substitute for checking the consolidated UK GDPR, applicable Data Protection Act 2018 provisions, current ICO guidance, contracts, and the facts of the processing.

Author
Sorena AI
Published
May 9, 2026
Updated
Oct 15, 2026
Overview

The Data (Use and Access) Act 2025 replaced the former Article 22 rule with Articles 22A-22D, fully in force from 5 February 2026. The current UK test asks whether a decision is significant and based solely on automated processing, meaning there is no meaningful human involvement. Article 22B restricts specified cases; Article 22C requires safeguards for every significant solely automated decision covered by that provision.

Section 1

What should teams decide about AI and Automated Decisions under the UK GDPR?

Map the actual decision, not merely the model or score. A decision is significant if it produces a legal effect or a similarly significant effect for the person. It is solely automated where there is no meaningful human involvement. Record who reviews the output, what information they receive, whether they can depart from it, and whether they have time and authority to do so.

Article 22B prohibits a significant solely automated decision based wholly or partly on special-category processing unless the decision is based entirely on personal data to which the person explicitly consented, or the decision is necessary for a contract or required or authorised by law and Article 9(2)(g) substantial public interest applies. It also prohibits a significant solely automated decision when the processing used for it relies wholly or partly on Article 6(1)(ea), the recognised legitimate interests basis.

Where Article 22C applies, the controller must provide information about the decision and enable representations, human intervention, and contesting the decision. Separately document Article 6 lawfulness, any Article 9 or 10 condition, fairness, transparency, accuracy, security, DPIA risk, retention, and processor controls.

  • Record the decision, its effect, input data, profiling, controller, lawful basis, special-category use, and why any human involvement is meaningful.
  • Design Article 22C information, representation, human-intervention, and contest routes before launch.
  • Keep test results for accuracy, discrimination risk, override effectiveness, security, monitoring, and outcome review.
  • Treat pre-February 2026 Article 22 guidance as background unless it has been checked against the amended statutory text.
Section 2

Who should own AI and Automated Decisions, and what evidence should prove the decision?

The controller that determines the decision's purpose and essential means owns the Articles 22A-22C analysis. Product and decision owners define the decision and effect; data science documents inputs, performance, and limitations; operations designs genuine human review; privacy or legal checks lawful basis, special-category conditions, notices, rights, and DPIA; procurement controls processor instructions and evidence.

Evidence should include the decision map, effect assessment, lawful basis, Article 9 or 10 condition, profiling analysis, human-review design and override records, Article 22C information and request routes, DPIA, model and outcome tests, monitoring thresholds, processor terms, and change history.

  • Decision owner: define the decision, who is affected, when it is final, and the legal or similarly significant effect.
  • Reviewer-design owner: document the reviewer's information, competence, time, independence, authority to depart from the output, and evidence of actual overrides.
  • Privacy or legal reviewer: confirm Article 6, any Article 9 or 10 condition, Article 22B, Article 22C, transparency, rights, DPIA and processor requirements.
  • Technical owner: retain input and output specifications, provenance, validation results, error and bias analysis, monitoring thresholds, incident history, version changes and rollback controls.
  • Operations owner: keep information notices, representations, intervention requests, contests, outcomes, corrections, response times and recurring failure themes.
Section 3

Which edge cases change the automated-decision analysis?

Profiling or an AI recommendation is not automatically a significant solely automated decision. Article 22C is triggered only when the controller takes a based entirely or partly on personal data and solely on automated processing. Human involvement that merely rubber-stamps an output may not be meaningful.

Article 22B adds restrictions where special-category processing contributes to the significant solely automated decision and where the processing used for that decision relies entirely or partly on Article 6(1)(ea), the recognised legitimate interests basis. A decision can fall outside Articles 22B and 22C because a human genuinely decides it or because its effect is not significant, but the ordinary UK GDPR principles, lawful-basis, transparency, rights, security and accountability duties still apply.

  • A model that ranks options for a person can still support a genuinely human decision if the reviewer assesses the case and can depart from the ranking; record the real process, not the intended process.
  • A nominal approval click does not establish meaningful involvement when the reviewer lacks the information, time or authority to challenge the result.
  • Article 22C applies to the controller's significant solely automated decision even when a processor supplies the model, score or hosted service.
  • Special-category inferences can engage Article 9 and Article 22B even when the input data did not arrive with a special-category label; assess what the system infers and uses.
  • A DPIA is required before processing likely to result in high risk, including the Article 35 example of systematic and extensive automated evaluation used for legal or similarly significant decisions.
Section 4

How should teams put these controls into practice?

At design time, classify the decision and effect, identify the data and lawful basis, test Article 22B, complete any required DPIA, and build Article 22C safeguards. Before launch, test that a person can obtain understandable information, make representations, obtain human intervention, and contest the result.

During operation, log automated outcomes, human overrides, challenges, corrections, performance by relevant groups, data drift, and material changes. Reassess when the decision purpose, input data, model, effect, reviewer authority, or lawful basis changes.

  • Gate 1 - decision and effect: identify the decision and record why its effect is legal, similarly significant, or neither.
  • Gate 2 - automation: map each human step and decide whether it is meaningful in practice; if it is, retain authority, training, review and override evidence.
  • Gate 3 - restriction: identify every lawful basis and special-category input or inference, then apply both Article 22B prohibitions and their stated conditions.
  • Gate 4 - safeguards: provide decision information and working routes for representations, human intervention and contest before the decision process goes live.
  • Gate 5 - lifecycle: test outcomes, log challenges and overrides, and reopen the assessment when the purpose, effect, data, inference, model, threshold, reviewer role, vendor or lawful basis changes.
Primary sources

References and citations

legislation.gov.uk5 citations
Referenced sections
  • Binding current text for meaningful human involvement, significant decisions, restrictions, and safeguards in force from 5 February 2026.
  • Binding consolidated text for meaningful human involvement, significant decisions, Article 22B restrictions, and Article 22C safeguards after the 2025 Act amendments.
  • Binding current source for the decision test, special-category and recognised-legitimate-interest restrictions, and safeguards.
Show 2 more
  • Binding current source for significant decisions, meaningful human involvement, Article 22B restrictions, and Article 22C safeguards.
  • Binding current source for classifying the decision and effect and implementing information, representation, human-intervention, and contest safeguards.
"a decision is based solely on automated processing if there is no meaningful human involvement"
ico.org.uk2 citations
Referenced sections
  • ICO lifecycle guidance on AI accountability, transparency, lawfulness, fairness, accuracy, security, minimisation, rights, and DPIAs. Older Article 22 passages must be checked against current Articles 22A-22D.
  • Regulator guidance on data-protection risks throughout the AI lifecycle; it supplements rather than replaces the amended statutory text.
"Guidance on AI and data protection"
ico.org.uk2 citations
Referenced sections
  • This ICO guidance describes the former Article 22 framework and remains useful background only after comparison with current Articles 22A-22D.
  • ICO guidance provides practical background, but teams should check it against the amended Articles 22A-22D now in force.
ico.org.uk
Referenced sections
  • ICO AI guidance links UK GDPR principles, accountability, transparency, and risk assessment to the design and operation of AI systems.
"how to apply the principles of the UK GDPR to the use of information in AI systems"
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