Alabama · Senate Bill · 2022 Regular Session
SB56
Alabama SB 56 — Relating to facial recognition technology; to prohibit state or local law enforcement agencies from using facial recognition match results as the sole basis for making an arrest or for establishing probable cause in a criminal investigation

Status ● Failed Effective N/A Passage Likelihood N/A

WHAT THIS BILL REGULATES · 1 REQUIREMENT TYPE

How Is This Bill Enforced

Enforcement Authority
No private right of action. No designated enforcement authority specified. The statute imposes a restriction on state and local law enforcement agencies regarding the use of facial recognition match results; enforcement would presumably occur through the criminal justice system (e.g., suppression of evidence or challenge to probable cause).
Private Right of Action
No private right of action. Enforcement is exclusive to the designated authority.
Penalties
The statute does not specify any civil penalties, damages, or remedies. The practical remedy for a violation would be a challenge to probable cause or suppression of evidence in a criminal proceeding.

What This Bill Requires

Verbatim statutory text on the left; plain-language analysis and a per-section checklist on the right. Numbered markers cross-link to the matching checklist row.

Statutory Text
Analysis & Obligations
Section 1
Definitions

(a)(1) FACIAL BIOMETRIC DATAFacial biometric dataA unique numerical representation of an individual's face generated by facial recognition technology based on measurements derived from a facial image, also known as a facial template.Section 1(a)(1). A unique numerical representation of an individual's face generated by facial recognition technologyFacial recognition technologyAny computer software or application that, for the purpose of attempting to determine the identity of an unknown individual, generates facial biometric data, searches for matching facial biometric data in a database populated with many individuals' facial biometric data linked to personally identifiable information, and provides match results based on the similarity between the unknown individual's facial biometric data and the facial biometric data in the database.Section 1(a)(2) based on measurements derived from a facial image, also known as a facial template.

(a)(2) FACIAL RECOGNITION TECHNOLOGYFacial recognition technologyAny computer software or application that, for the purpose of attempting to determine the identity of an unknown individual, generates facial biometric data, searches for matching facial biometric data in a database populated with many individuals' facial biometric data linked to personally identifiable information, and provides match results based on the similarity between the unknown individual's facial biometric data and the facial biometric data in the database.Section 1(a)(2). Any computer software or application that, for the purpose of attempting to determine the identity of an unknown individual, generates facial biometric dataFacial biometric dataA unique numerical representation of an individual's face generated by facial recognition technology based on measurements derived from a facial image, also known as a facial template.Section 1(a)(1), searches for matching facial biometric dataFacial biometric dataA unique numerical representation of an individual's face generated by facial recognition technology based on measurements derived from a facial image, also known as a facial template.Section 1(a)(1) in a database populated with many individuals' facial biometric dataFacial biometric dataA unique numerical representation of an individual's face generated by facial recognition technology based on measurements derived from a facial image, also known as a facial template.Section 1(a)(1) linked to personally identifiable information, and provides match results based on the similarity between the unknown individual's facial biometric dataFacial biometric dataA unique numerical representation of an individual's face generated by facial recognition technology based on measurements derived from a facial image, also known as a facial template.Section 1(a)(1) and the facial biometric dataFacial biometric dataA unique numerical representation of an individual's face generated by facial recognition technology based on measurements derived from a facial image, also known as a facial template.Section 1(a)(1) in the database.

Section 1 establishes the two key defined terms for the act: facial biometric data (the numerical representation of a face derived from a facial image) and facial recognition technology (software that generates facial biometric data, searches a database of such data linked to personally identifiable information, and returns match results). The definition of facial recognition technology is narrowly scoped to identification-purpose software that operates against a populated database — it would not cover simple face-detection or liveness-check systems that do not search against a database of known individuals.

Section 2
Prohibition on sole reliance on facial recognition match results
Government

(a)–(b) 1 A state or local law enforcement agency may not use facial recognition technologyFacial recognition technologyAny computer software or application that, for the purpose of attempting to determine the identity of an unknown individual, generates facial biometric data, searches for matching facial biometric data in a database populated with many individuals' facial biometric data linked to personally identifiable information, and provides match results based on the similarity between the unknown individual's facial biometric data and the facial biometric data in the database.Section 1(a)(2) match results as the sole basis to establish probable cause in a criminal investigation or to make an arrest. (b) To establish probable cause in a criminal investigation or to make an arrest, a state or local law enforcement agency may use facial recognition technologyFacial recognition technologyAny computer software or application that, for the purpose of attempting to determine the identity of an unknown individual, generates facial biometric data, searches for matching facial biometric data in a database populated with many individuals' facial biometric data linked to personally identifiable information, and provides match results based on the similarity between the unknown individual's facial biometric data and the facial biometric data in the database.Section 1(a)(2) match results only in conjunction with other lawfully obtained information and evidence.

Section 2 contains the act's sole operative obligation: state and local law enforcement agencies may not use facial recognition technology match results as the sole basis to establish probable cause or to make an arrest. Subsection (b) clarifies the permissible use — match results may be used in conjunction with other lawfully obtained information and evidence. The practical effect is a corroboration requirement: facial recognition is not banned, but it cannot stand alone as the evidentiary foundation for an arrest or probable cause determination.

Compliance actions 1 item
1
State and local law enforcement agencies must not use facial recognition technologyFacial recognition technologyAny computer software or application that, for the purpose of attempting to determine the identity of an unknown individual, generates facial biometric data, searches for matching facial biometric data in a database populated with many individuals' facial biometric data linked to personally identifiable information, and provides match results based on the similarity between the unknown individual's facial biometric data and the facial biometric data in the database.Section 1(a)(2) match results as the sole basis for establishing probable cause or making an arrest; match results may be used only in conjunction with other lawfully obtained information and evidence.
H-01.6
Section 3
Effective date

This act shall become effective on the first day of the third month following its passage and approval by the Governor, or its otherwise becoming law.

Section 3 provides that the act becomes effective on the first day of the third month following passage and approval by the Governor, or its otherwise becoming law. Based on the legislative history (Senate concurrence in House amendment on April 5, 2022), the effective date would fall in mid-2022.

Passage Likelihood

Failed
Status Failed

Legislative History

No history on file

Entry Last Reviewed

2026-05-15
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