Artifact GuideUKAI and Automated Decisions

UK GDPR AI and Automated Decisions

Since 5 February 2026, Articles 22A to 22D govern significant decisions made without meaningful human involvement.

The rules apply to the decision, not to every use of AI. Start with the legal or similarly significant effect and the reality of human involvement.

Author
Sorena AI
Published
May 9, 2026
Updated
Jul 24, 2026
Questions
3

Structured answer sets in this page tree.

Primary sources
7

Cited legal and guidance references.

Publication metadata
Sorena AI
Published May 9, 2026
Updated Jul 24, 2026
Overview

A model score, recommendation, or profile is not automatically an Article 22A decision. Map the final outcome, who makes it, and its effect on the person. A has no , and a produces a legal or similarly significant effect. Significant solely automated decisions require Article 22C safeguards, while Article 22B adds restrictions for and .

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3 of 3 questions
Question 1

When do Articles 22A to 22D apply?

Identify the decision made about a person, such as refusing credit, rejecting an application, changing access to an essential service, or imposing another outcome with a legal or comparably serious effect. A low-impact recommendation or internal score may fall outside Article 22A if it does not determine or materially shape such an outcome, but the rest of UK GDPR still applies.

Human involvement must affect the decision in practice. A person who automatically accepts a score, lacks authority to change the outcome, or sees too little information to assess it may not provide meaningful involvement. Article 22A requires consideration of the extent to which profiling produced the decision.

  • Record the decision, affected person, effect, data inputs, model output, and final decision-maker.
  • Document the that prevents the final outcome from being solely automated.
  • Test whether a human can understand the relevant factors, question the output, and accept, reject, or change the result.
  • Separate automated support from the final decision and test whether the human review works under real workload and time constraints.
  • Reassess when a model, threshold, user journey, data source, or reviewer authority changes.
Citations
Question 2

Which automated decisions are restricted?

Article 22B restricts a significant based entirely or partly on special-category processing. It is allowed only where the person explicitly consented to all personal-data processing on which the decision is based, or where the decision is necessary for a contract or required or authorised by law and Article 9(2)(g) substantial public interest applies.

A significant also cannot rely entirely or partly on Article 6(1)(ea), the basis. Other significant solely automated decisions are no longer limited to the former contract, law, or explicit-consent routes, but they still need an Article 6 basis and must satisfy fairness, transparency, minimisation, accuracy, security, and other applicable UK GDPR duties.

  • Identify every Article 6 basis and, for , the Article 9 condition and any DPA 2018 Schedule 1 requirement.
  • Do not use for processing used to make a significant .
  • Complete a DPIA before likely high-risk processing and address discrimination, accuracy, explainability, security, and vulnerable-person risks.
  • Do not treat Article 22C safeguards as permission for processing that lacks a lawful basis or fails another UK GDPR requirement.
Citations
Question 3

What safeguards and evidence are required?

For every significant based on personal data, Article 22C requires measures that provide the person with information about the decision and enable them to make representations, obtain human intervention from the controller, and contest the decision. Build these routes into the service rather than relying on a general contact address that cannot pause or change the outcome.

Keep a decision inventory, significance and human-involvement analysis, lawful-basis record, DPIA, data and model documentation, accuracy and bias tests, monitoring results, notices, representation and contest workflows, reviewer instructions, response records, and change history.

  • Tell the person that the was automated and give information they can use to understand and challenge it.
  • Route representations to a reviewer with authority, relevant information, time, and freedom to change the outcome.
  • Record the review, evidence considered, conclusion, communication, and any correction or model-control change.
  • Monitor outcomes and complaints for drift, systematic error, and unequal effects.
Citations
Primary sources

References and citations

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