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Written by Max Zeshut
Founder at Agentmelt
The question of who bears *legal* responsibility when an AI agent's action harms a third party — a wrong decision, a data leak, a discriminatory outcome, a financial loss. The short answer is that 'the AI did it' is not a defense: an autonomous system is not a legal person, holds no assets, and can't be sued or fined, so liability flows to the humans and organizations in the chain. Three roles can be on the hook: the *provider/developer* who built and placed the agent or its model on the market (a product-liability posture), the *deployer/operator* who put it to use in their own operations (distinct obligations under the EU AI Act plus ordinary negligence exposure), and the *user* who directed a specific action. Two things matter most for anyone shipping agents: the deployer usually can't outsource the risk to the model vendor, and a tamper-evident audit trail is the primary evidence that you acted reasonably. Accountability infrastructure is liability insurance built in advance. *(General orientation, not legal advice — liability turns on jurisdiction, sector, and facts.)*
A retailer deploys a third-party pricing agent that autonomously sets discriminatory prices. Even though a vendor built the model, the retailer — as deployer — is the one regulators and plaintiffs reach first: it chose to let the agent act on real customers, and under the EU AI Act it owed duties of human oversight and monitoring it can't delegate away.