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There is no single worldwide right that applies whenever AI is used. Your protections depend on your location, the sector, the decision’s effect, the personal data involved, and whether a person meaningfully reviewed the result. In the EU, the strongest protection generally concerns decisions made solely by automated means that have legal or similarly significant effects. Colorado has enacted separate rights for covered consequential decisions beginning January 1, 2027. UK rules have recently changed and must be checked against the current law and commencement date.
Start by separating AI assistance from a solely automated decision
An organization may use an AI system to sort applications, flag transactions, estimate risk or draft a recommendation without allowing the system to make the final decision. That use alone does not automatically trigger a right to appeal under every privacy law.
The key factual question is whether a human had meaningful involvement. The European Data Protection Board says to examine whether a person had significant control over the outcome and could change or reverse it. A nominal human check that simply accepts the system’s output may not be meaningful; the facts of the process matter. See the EDPB’s explanation of individual rights at Respect individuals’ rights.
Profiling is related, but not identical
Profiling is automated processing of personal data to evaluate personal aspects, such as reliability, behavior or preferences. A profile can be created without a decision being made. Conversely, a decision can involve automated processing without fitting every element of a profiling operation. Treat the two questions separately: what data processing occurred, and what decision—if any—followed.
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When the effect is legally or practically significant
For EU GDPR purposes, the relevant threshold is a legal effect or a similarly significant effect. The European Commission gives refusal of an online credit application as an example of a potentially significant result. Losing access to a service, a benefit or an opportunity may be important, but whether the legal threshold is met depends on the specific facts and applicable sector rules.
EU GDPR: the main protection against qualifying automated decisions
Article 22 is commonly described as a right not to be subject to a qualifying solely automated decision. The European Commission states:
“The data protection law establishes that you have the right not to be subject to a decision based solely on automated means, if the decision produces legal effects concerning you or significantly affects you in a similar way.”
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Read the Commission’s individual guidance at Information for individuals. The protection is not an unconditional promise that a human must review every AI-supported outcome. It applies only when the decision is solely automated and reaches the required level of effect.
Exceptions that can permit a solely automated decision
The Commission identifies circumstances in which a qualifying automated decision may be allowed:
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- It is necessary to enter into, or perform, a contract with you.
- You have given explicit consent.
- EU or national law authorizes it and provides suitable safeguards.
When an exception applies, the controller must still provide the safeguards required by the GDPR. The Commission’s business guidance, Dealing with requests from individuals, describes the circumstances in which a person may express a point of view, obtain human intervention and contest the result.
What a safeguard can mean in practice
Depending on the legal basis and circumstances, you may be able to:
- Ask a qualified person to review the outcome rather than merely repeat the system’s result.
- Explain why the decision is wrong or incomplete.
- Contest the decision through the organization’s review or challenge process.
These rights are tied to the qualifying decision and the applicable exception. They do not create a universal right to a personal meeting, a copy of source code or an automatic reversal.
Special-category data adds stricter limits
Information revealing health, racial or ethnic origin, political opinions, religion, trade-union membership, genetic or biometric characteristics, or sex life and sexual orientation receives additional protection. If such data was used, ask which legal condition permitted its processing and how the organization prevented prohibited or discriminatory effects. The exact answer depends on the processing purpose and the applicable GDPR provisions.
What to ask an organization in an EU case
Contact the organization that made or communicated the decision—the GDPR calls it the controller—and keep a dated record. A focused request should establish the facts before you argue about the result.
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- Identify the decision. State the date, the outcome and the practical or legal effect on you.
- Ask whether automation was involved. Request confirmation of whether an automated system or profile contributed to the outcome.
- Ask about human involvement. Find out whether a person reviewed the case, had authority to alter the result and actually considered information beyond the system’s output.
- Request information about your data. Ask what personal data and sources were used, and identify factual errors.
- Request the available review route. Where the GDPR safeguards apply, ask for human intervention, an opportunity to present your view and a way to contest the decision.
- Attach evidence. Supply documents that correct inaccurate dates, income, identity details or other material facts.
Keep the request factual. An organization may respond that the decision was not solely automated, that the effect was not legally or similarly significant, or that a different legal basis applies. Those answers are not necessarily correct, but they identify the issues to challenge with the relevant regulator or legal adviser.
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The EU AI Act does not replace data-protection rights
Recital 10 of the EU AI Act confirms that people retain rights and guarantees under EU data-protection law, including protections concerning solely automated individual decision-making. The recital is available through the European Commission’s AI Act Service Desk. Do not treat the AI Act as a single, universal appeal mechanism for every decision involving an AI tool; the GDPR and other applicable laws still determine the individual remedy.
A narrow criminal-offence risk rule
Recital 42 addresses a specific criminal-offence risk context. It says natural persons should not be assessed solely through AI-based profiling or personality characteristics without objective, verifiable facts and human assessment. That safeguard should not be generalized to every fraud score, insurance model or workplace ranking. Its scope and conditions are tied to the context described in the recital, available at Recital 42.
Colorado: enacted rights beginning January 1, 2027
Colorado has enacted SB 26-189, which repeals and reenacts state provisions on automated decision-making technology. The Colorado General Assembly’s bill page is SB26-189 Automated Decision-Making Technology. The enacted summary describes rights for covered automated decision-making and consequential decisions, including the ability to:
- Request the personal data used by covered technology.
- Correct data that is factually incorrect.
- Request meaningful human review and reconsideration after a covered consequential decision produces an adverse outcome.
The law takes effect on January 1, 2027. That is an effective date, not proof that the same requirements were already enforceable in October 2026. Coverage, definitions, exemptions and procedures will determine whether a particular decision qualifies.
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Rulemaking is still relevant to timing and procedure
The Colorado Attorney General reported filing proposed rules on August 11, 2026. The announced rulemaking comment period runs through October 26, 2026; check the current status at Colorado Anti-Discrimination in AI Law (ADAI) Rulemaking. Final rules may clarify notices, data requests, human review and other implementation details. Recheck the rules before relying on a procedure after the law’s effective date.
UK: do not assume the EU summary still fits
The UK has its own GDPR framework. The current UK GDPR text has been amended by the Data (Use and Access) Act 2025. The official EU adequacy decision describes changes including a definition based on the absence of meaningful human involvement, and amendments affecting special-category data and significant automated decisions.
Because commencement dates and the operative text matter, check the version applicable to the date of your decision. The UK GDPR’s Chapter III text is available at UK GDPR, Chapter III, and the adequacy decision is at Implementing Decision (EU) 2025/2574. A UK complaint or request should be framed under the provisions actually in force, rather than by copying an EU Article 22 explanation without checking the amendments.
Compare your position before choosing a challenge route
| Question | EU GDPR | Colorado SB 26-189 | United Kingdom |
|---|---|---|---|
| Trigger | Solely automated processing with a legal or similarly significant effect | Covered automated decision-making and covered consequential decisions, including adverse outcomes | Rules amended by the Data (Use and Access) Act 2025; apply the current text and commencement status |
| Potential individual action | Human intervention, expressing a view and contesting a decision where the applicable exception and safeguards apply | Request data, correct factual errors, and request meaningful human review and reconsideration for a covered adverse consequential decision | Rights depend on the amended UK provisions in force for the relevant date and circumstances |
| Timing noted in the official material | GDPR framework applies according to the relevant EU law and facts | Effective January 1, 2027; proposed-rule comments announced through October 26, 2026 | Check commencement and the current UK GDPR text |
A practical workflow for any AI-influenced decision
1. Locate the decision-maker and jurisdiction
Write down the organization, its country or state, the service involved and the date. A bank, employer, insurer, public authority, school or platform may be subject to different sector rules in addition to privacy law.
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2. Preserve the notice and effect
Save emails, portal messages, letters, scores, deadlines and screenshots. Describe what changed: a refused application, suspension, benefit loss, price increase, eligibility decision or another concrete consequence.
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3. Test for meaningful human involvement
Ask whether a person reviewed your individual information, could change the output and had authority to reverse it. “A human is in the loop” is not enough if the person had no real discretion or did not examine the case.
4. Request data and correction
Use the access or data-request channel identified by the organization. List each factual error and attach reliable evidence. In Colorado, the enacted law specifically describes data access and correction rights for covered technology from its effective date; elsewhere, the available route depends on local law.
5. Request reconsideration in precise terms
Ask for the legal or policy basis for the decision, whether it was solely automated, the human review available, and the deadline for contesting it. State the remedy you seek—correction, a fresh human review, reinstatement or another specific action.
6. Escalate only through a route that exists in your jurisdiction
If the organization does not respond, identify the competent data-protection regulator, consumer or discrimination agency, ombudsman, or legal-aid service for your location and sector. The existence, deadline and powers of those bodies vary; there is no universal complaint process for AI decisions.
Common mistakes that weaken a challenge
- Assuming any AI use proves a violation. The legal tests focus on automation, significance, data processing and human control.
- Demanding source code as the first remedy. A useful request usually starts with the data used, the decision logic at an understandable level and the review process.
- Ignoring non-AI causes. A decision may result from an ordinary eligibility rule, missing document or human policy even when an AI tool was present.
- Missing effective dates. Colorado’s specified rights begin January 1, 2027, while UK amendments may depend on commencement.
- Failing to state the harm. Explain the legal or practical consequence and why correcting the data or reviewing the case could change it.
What these rights do—and do not—promise
These frameworks can give you a path to learn what data was used, correct factual errors and obtain meaningful review in defined circumstances. They do not guarantee approval, compensation, disclosure of confidential security information or a human appeal for every recommendation generated with AI. The decisive details are the jurisdiction, sector, decision’s effect, system’s role, human involvement, legal basis and the law in force on the relevant date.
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