Linked from

The 11 pages that link to Facial recognition system, each with the reason it gives.

• SurveillanceBroader topic: It can connect camera footage to an individual's identity.

• Algorithmic biasBroader topic: Uneven error rates can expose demographic groups to different risks of misidentification.

• Computer visionBroader topic: It is a prominent application with consequential privacy and fairness concerns.

• Criminal investigationCompared with: Image matches can generate leads, but require careful verification and are not proof by themselves.

• Mass surveillanceBroader topic: It can connect public-camera footage to identities across locations.

• Closed-circuit televisionRelated: When paired with cameras, facial recognition can identify people in captured footage.

• Missing personRelated: Authorities may use image comparisons to generate leads about a person’s location or identity.

• PareidoliaRelated: Its thresholds must separate genuine faces from misleading face-like patterns.

• AI ethicsBroader topic: Its deployment in public spaces brings privacy, accuracy, and surveillance concerns together.

• Cross-race effectRelated: Human cross-race effects prompt comparison with demographic disparities in automated face recognition.

• Timnit GebruRelated: Gender Shades tested commercial facial analysis systems, revealing uneven accuracy across demographic groups.