Egyptian government uses facial recognition for public surveillance
The Egyptian government deployed facial recognition technology to conduct mass surveillance and monitor public gatherings. Rights groups reported that these systems were used to identify and target individuals involved in political activities.
Records by entity: Egyptian Government
Egypt utilized facial recognition for mass surveillance of citizens and political dissidents.
The Egyptian government has used facial recognition technology for surveillance purposes, including monitoring public gatherings and identifying individuals who may be involved in political activities.
Key facts
- What
- The Egyptian government deployed facial recognition technology to conduct mass surveillance and monitor public gatherings.
- Incident date
- Feb 24, 2016
- Who
- Egyptian Government
- Failure mode
- Hallucination
- AI surface
- Computer Vision
- Severity
- High
What happened
The Egyptian government implemented facial recognition systems to monitor public spaces and gatherings. According to rights groups, these tools were used to identify political activists and track the movement of citizens, in a deployment they said occurred without legal safeguards or data protection regulations.
What broke inside the model
The failure was one of governance and oversight rather than a technical malfunction. The system lacked essential ethical constraints and regulatory guardrails to prevent mass surveillance. This allowed the technology to be weaponized against civil liberties.
What it cost
Sources
- PrimaryBiometric surveillance - Open Rights Groupecnl.org
- PrimaryThe President's Men? Inside The Technical Research Departmentprivacyinternational.org
Cite this entry
https://failureindex.ai/failures/egyptian-government-uses-facial-recognition-publicAI Failure Index. "Egyptian government uses facial recognition for public surveillance" (FI-0480). Realm Labs. https://failureindex.ai/failures/egyptian-government-uses-facial-recognition-public (indexed Jun 10, 2026).Data fields CC-BY 4.0, prose citation permitted. Incident ID FI-0480. Full dataset at /data.
Note from Realm Labs, the Index steward
How Realm would have caught this
- Prism
- OmniGuard
- AI Detection & Response (AIDR)
A runtime layer that watches the model's internal state can flag the moment a model commits to a claim it has no support for, and hold or reroute the response before it reaches a user. Realm reads those signals in real time rather than grading the transcript after the fact.