FTC allegations about Rite Aid facial recognition
A regulator complaint describes harmful false matches in a retail surveillance deployment.
Record date · 2012 – 20201 cited source
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Privacy in AI deployments
Collecting and using personal data creates questions about purpose, access and retention.
- Last reviewed
- Jurisdiction / scope
- Global
- Record date / period
- Date not established
- Assessment confidence
- Not scored
Overview
Privacy risk depends on data practices throughout a system’s lifecycle.
Why it matters
People may have little visibility into how information about them is collected or used.
Current evidence
NIST’s GenAI Profile includes data privacy among its risk areas.
What we know
A risk category is not evidence that a specific product leaked data.
What we do not know
What information is retained, who can access it, and how can an affected person challenge its use?
Key uncertainties
Deployment-specific data flows and access controls need investigation.
Current assessment
Map data uses before drawing conclusions about an individual system.
Methodology
General risk framing; no unsupported breach or severity claim.
Related records.
Links provide context. Read the stated relationship; inclusion does not imply misconduct, endorsement or a legal obligation.
Incidents
Research
Sources.
- Complaint for permanent injunction and other relief: Rite Aid ↗
Federal Trade Commission · Primary source · Regulator complaint
Published 2023-12-19 · Accessed 2026-10-07 - Generative Artificial Intelligence Profile (NIST AI 600-1) ↗
NIST · Primary source · Government technical report
Published 2024-07 · Accessed 2026-10-07DOI: 10.6028/NIST.AI.600-1
Record history.
Review dates track editorial checks. Updates may reflect corrections or added context; they are not new incidents. Private draft revisions are omitted.
- · Revision 1
Initial sourced historical collection. Review date describes this record, not the date of the event.