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There is no single person automatically responsible when AI causes harm. Responsibility depends on the country, the kind of harm and claim, and what the people and organizations involved did or failed to do. An AI system is not a legal person, and a harmful output alone does not identify who must pay.
Which people and organizations might be responsible?
Start by mapping the system’s path from development to use. These are possible roles to investigate, not a ranking of who is most likely to be liable.
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| Role | What to examine | Possible legal route |
|---|---|---|
| Developer, provider, or software manufacturer | How the system was designed, supplied, updated, and described; whether an alleged defect contributed to the harm | Product-liability law, contract, or another applicable civil claim |
| Organization that selected or deployed the system | Why it chose the system, how it configured and monitored it, and whether required human oversight was in place | Regulatory compliance duties, contract, or national civil-liability law |
| Professional or employee who used the output | Whether the person relied on it appropriately, checked it, or made a consequential decision without required care | Potentially professional, employment, contractual, or other national rules |
| Person who relied on or acted on the output | What the person knew, did, and could reasonably verify | Depends on the governing law and the facts; the role alone does not establish liability |
More than one party may warrant examination. The relevant question is not simply who “made the AI,” but whether a legally relevant defect, act, or omission caused the particular harm.
Regulatory duties and compensation are different questions
A regulator can investigate or enforce compliance requirements; a person seeking compensation must establish a claim under the applicable civil law. Those inquiries can overlap, but a regulatory breach does not, by itself, answer who owes damages. Likewise, a party’s compliance with an AI-specific rule does not necessarily resolve every other claim.
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EU AI Act
In the EU, the AI Act assigns requirements to regulated parties such as providers and deployers. The AI Office and national market surveillance authorities have supervisory and enforcement roles. For high-risk systems within the Act’s scope, deployers must assign competent human oversight and monitor operation. Article 14(4) requires deployers to assign oversight to natural persons with the necessary competence, training, authority, and support. This is a compliance requirement, not a standalone rule making a deployer pay for every harmful output.
When can product-liability law apply to AI?
Directive (EU) 2024/2853 expressly includes software, including AI systems, in the EU product-liability framework and treats a software developer or producer, including an AI-system provider, as a manufacturer. This route concerns damage caused by a defective product; it is not a universal compensation rule for every harmful answer, service, or use of AI.
The Directive applies from 9 December 2026, subject to its temporal scope and national implementation. Because that date is still in the future as of 9 October 2026, do not assume these revised rules govern an event that occurred earlier. The Directive also leaves room for claims under contract law and other national non-contractual rules, so the product-liability route is not the only one that may matter.
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What must be established in a particular case?
Opacity can make it difficult to trace an AI-assisted decision and identify evidence. The relevant proof rules and legal tests depend on the governing jurisdiction; this issue-spotting list is not a universal legal test.
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- What happened: Identify the output, decision, or action at issue and how the system was used.
- Who controlled each step: Establish who developed or supplied the system, selected and configured it, monitored it, and relied on its output.
- What conduct or condition is alleged: For example, a product defect, inadequate selection or configuration, a failure to monitor, or a human decision that may have fallen short of a relevant duty.
- What harm followed: Document the injury or loss and its connection to the alleged defect or conduct. Causation is a central issue, not something established merely by showing that AI was involved.
- Which law and date apply: The location, timing, applicable contracts, and local rules can change the available claim and the proof required.
Is the EU AI Liability Directive in force?
No. The European Commission’s 2022 AI Liability Directive was a proposal intended to improve proof in certain non-contractual civil claims involving AI; it was not enacted. EUR-Lex records that the proposal was withdrawn on 6 October 2025. Its proposed procedures should not be described as remedies currently in force. The withdrawal does not, by itself, remove claims available under product-liability, contract, or other national law.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What to gather if AI may have harmed you
For a real incident, preserve the information that may help establish what happened and who was involved. A lawyer or relevant regulator can assess it under current local law.
Quick Recap
- Record the date, location, system or product name, and the organization that provided or used it.
- Keep the output, decision notice, messages, contracts, and any explanation of how the system was used. Preserve original records where possible.
- Write down the sequence of events, including who reviewed the output or took action based on it.
- Document the harm and related losses, along with records that may help connect them to the disputed decision or product.
- Check deadlines and available routes with a qualified local adviser; the relevant law can depend on where and when the event occurred.
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