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RESEARCH DRAFT

Research draft. Conclusions may change; review the sources and limitations before relying on them.

RESEARCH DRAFT · NOT A VERIFIED CONCLUSION

Facial recognition can fail two tests: the sales pitch and what happens in the store.

Separate FTC cases point to different checkpoints for assessing AI: substantiated vendor claims and safe deployment.

research_draftUpdated 2026-09-100 recorded actions
Conceptual generated illustration of documents and civic architectureCONCEPTUAL ILLUSTRATION

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2Recorded evidence rows
0Investigation actions
3Review limitations
0Recorded answers

What this page shows

The FTC's Rite Aid proceeding addressed alleged failures to prevent harm when facial recognition was used in stores. A separate December 2024 IntelliVision action challenged the substantiation of accuracy, bias and anti-spoofing claims. Together, these cases suggest a two-part procurement question: does the vendor have reliable evidence for its claims, and does the customer's deployment prevent harmful outcomes? Passing a laboratory benchmark would not, alone, answer the second question.

Recorded evidence

FTC
Rite Aid case and orders2024
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FTC
IntelliVision facial-recognition claims action2024-12
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Limitations & review notes

  • Research draft. Conclusions may change; review the sources and limitations before relying on them.
  • Research draft: not independently verified and not actively monitored. This is a dated research lead, not a verified conclusion.
  • This is a comparison of separate cases, not a supplier relationship: the sources do not establish that IntelliVision supplied Rite Aid. The December IntelliVision announcement describes allegations and a proposed settlement.

Questions this connection opens

  1. Which buyers require both independent performance testing and documented procedures for contesting false matches?
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