Facial recognition liability spans several distinct legal theories that are often litigated separately even when they arise from the same underlying technology: biometric privacy statutes targeting collection without consent, discrimination claims where the technology's accuracy varies across demographic groups, and direct harm claims where a misidentification led to a wrongful arrest, denial of service, or other adverse action against a real person. Each theory has its own elements and its own body of unsettled doctrine, and a single facial-recognition-related incident can implicate more than one at once.

The accuracy-disparity issue is particularly consequential in the misidentification context: documented differences in facial recognition error rates across demographic groups have been used to support both discrimination theories and ordinary negligence theories arguing that deploying a known-less-accurate system for a consequential use, like law enforcement identification, breaches a reasonable standard of care. Courts are still working out how to weigh general statistical accuracy research against the specific facts of an individual misidentification case, and government-use contexts add further layers of immunity and constitutional doctrine that private commercial deployments do not face.

Juricratic keeps the privacy-consent, discrimination, and misidentification-harm theories as separate dials rather than one composite score, because a facial recognition matter's strength often varies sharply across those three tracks — a case can be strong on a consent-violation theory and weak on a misidentification-harm theory, or the reverse, and that divergence is itself important strategic information.

Plaintiffs evaluate a facial recognition incident along whichever theories the facts actually support — a straightforward consent-statute violation if biometric data was collected improperly, a discrimination theory if accuracy disparities are documented and relevant, and a direct harm or negligence theory if a specific misidentification caused concrete injury — and often pursue more than one in parallel. Defendants deploying the technology should document accuracy testing across demographic groups and human-review procedures for consequential decisions, since both records bear directly on negligence, discrimination, and misidentification exposure alike.