AI Compliance for Liability
Liability is addressed by 46 regulatory updates across 6 jurisdictions and 4 frameworks. This page tracks how regulators worldwide are approaching liability in the context of artificial intelligence.
Framework Requirements for Liability
Regulations Covering Liability
US Federal(30)
FTC enforcement against deceptive AI claims continues
The FTC’s AI enforcement actions and related press releases show that deceptive AI performance claims remain an active Section 5 risk, so marketing and product teams need substantiation before regulators ask for it.
FTC seeks public comment on proposed AI accuracy policy statement
The FTC opened public comment on a proposed policy statement targeting AI accuracy claims, signaling that businesses making AI-performance representations should expect scrutiny over substantiation and deception risk now.
FTC continues AI deception enforcement
The FTC kept up AI deception actions, including bans, monetary relief, and notice obligations, so any unsupported AI performance, compliance, or capability claim now carries concrete enforcement risk.
FTC action against IntelliVision for bias claims about facial recognition
The FTC alleged that IntelliVision made false claims that its facial-recognition software was unbiased, so any AI product making fairness, bias, or accuracy representations now faces direct enforcement risk if substantiation is weak.
FTC final order against Workado for unsupported AI accuracy claims
The FTC finalized an order against Workado for misrepresenting AI content-detection accuracy, so any team marketing AI performance claims should now treat substantiation and evidence files as an enforcement-critical control.
California(7)
California AB 2169: Social media platforms: artificial intelligence models
California AB 2169 was read a second time and amended on April 23, 2026, signaling continued legislative attention to AI models on social media platforms and the need to track platform-specific obligations.
State v. Bailey
The 2026-03-30 state court entry contains no substantive excerpt, so the source does not establish any AI, discrimination, or compliance consequence.
Bryan v. Child Support Enforcement Agency
This state court decision dated 2026-03-30 is listed without any substantive excerpt, so no compliance requirement can be extracted from the source material provided.
In the Interest of W.G., Minor Child
This state court ruling dated 2026-04-01 is identified only by caption, with no factual or legal excerpt to indicate any regulatory relevance.
Patrick Hrdlichka v. Samantha Bengston
The source provides only the case name and a 2026-04-01 decision date, with no substantive legal holding to translate into a compliance update.
Colorado(6)
Bryan Dorsey v. Robert T. Jones
The state court listing gives no substantive outcome, so there is no actionable compliance change in the provided record.
State v. Bailey
The state court listing is caption-only and does not identify any operative holding, so no regulatory action is evident from the supplied text.
Bryan v. Child Support Enforcement Agency
The state court listing is caption-only and does not disclose an operative ruling, so there is no compliance delta in the supplied text.
In the Interest of W.G., Minor Child
The minor-child case entry is purely caption-level in the supplied text, with no discernible regulatory or compliance trigger.
Patrick Hrdlichka v. Samantha Bengston
The supplied state court listing lacks any substantive ruling, leaving no actionable compliance change to implement from the available text.
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