Strict liability
A form of liability that does not require the claimant to prove fault or negligence by the defendant; it attaches to certain activities or products regardless of the care taken. The revised PLD is a strict-liability regime for defective products: a claimant need not prove the manufacturer was negligent, only that the product was defective and that the defect caused the damage.
Defined in 3 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in EU AI Act Implementation Expert.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A form of liability that does not require the claimant to prove fault or negligence by the defendant; it attaches to certain activities or products regardless of the care taken. The revised PLD is a strict-liability regime for defective products: a claimant need not prove the manufacturer was negligent, only that the product was defective and that the defect caused the damage.
A liability regime requiring only proof that a defined category of activity caused a defined harm, with no inquiry into whether the responsible actor exercised reasonable care. Fairness under a strict liability regime is determined by how the category is scoped, not by conduct in the individual case.
A liability rule under which a claimant need only show a defective product caused harm, not that the defendant was careless. The revised EU Product Liability Directive extends this to software and AI.
Liability without the requirement to prove fault, negligence, or intentional wrong. The Revised PLD imposes strict liability on producers: a claimant need only prove the product is defective, that damage occurred, and that the defect caused the damage. No proof of the producer's culpability is required.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Who Pays When the Agent Errs III · The Law and the Regulators, Agentic AI Governance: Applied Mastery
- Who owns the output: IP, training-data provenance, and the liability chain when AI work goes wrong · Evidence Engineering, AI Governance: Applied Mastery
- Product Liability for AI (the Revised PLD) · Regulatory Interplay and Liability, EU AI Act Implementation Expert
- The AI Liability Landscape: Proving Fault When AI Causes Harm · Regulatory Interplay and Liability, EU AI Act Implementation Expert
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.