NY, US · AI law tracker
A322 — NY, US
A322 is an AI governance legislation from NY, currently committee. New York Bill A322 proposes to prohibit landlords from using facial recognition systems on residential premises [1]. AIGI tracks 1 primary-source update on this bill; the most recent was published on 2023-01-04.
Status & timeline
- Regulatory stage
- committee
- Bill status
- in committee
- Authority / governing body
- New York State Senate
- Chamber
- Assembly
- Document type
- legislation
Next deadline: No fixed deadline — currently in committee.
Subscriber only
Full obligation matrix
| Actor | Obligation | Deadline | Source |
|---|---|---|---|
| deployer | Landlords must not use a facial recognition system on any residential premises. | Upon enactment | — |
Subscriber only
Enforcement risk score
Announced regulation; enforcement footprint still forming.
Subscriber only
Role-based compliance checklist
- general_counsel Track the legislative progress of NY Assembly Bill A322.
- compliance_officer Assess current deployment of facial recognition systems across residential properties in New York.
- board_director Review potential impacts on property management operations and technology procurement strategies in New York if the bill passes.
Subscriber only
Vendor impact assessment
- Vendor risk class
- critical
- Procurement categories
- security_tooling, other
Vendors supplying facial recognition technology to landlords in New York will face a direct prohibition on their products' use in residential settings if this bill passes. They must be prepared to offer compliant alternatives or risk losing market share in this sector.
Sample vendor questions
- Does your facial recognition system comply with current and proposed New York state regulations regarding use in residential premises?
- What alternatives or modifications can your system offer to comply with a potential prohibition on facial recognition in residential settings?
- How will you support landlords in phasing out or replacing these systems if NY Assembly Bill A322 is enacted?
Intelligence briefs (1)
NY A322: Proposed Ban on Landlord Facial Recognition in Residential Premises
New York Bill A322 proposes to prohibit landlords from using facial recognition systems on residential premises [1].
This development signals a potential narrowing of permissible AI surveillance for property management entities in New York.
Deadline: No fixed deadline — currently in committee.
Primary source →Frequently asked questions
- What is A322?
- New York Assembly Bill A322, currently under review in the Assembly Committee on Housing, proposes to prohibit landlords from deploying facial recognition systems within any residential premises [1]. This legislative effort targets the use of biometric surveillance technologies in housing, signaling a potential expansion of tenant privacy protections in the state. Primary source →
- Why does A322 matter?
- This development signals a potential narrowing of permissible AI surveillance for property management entities in New York. Primary source →
- Who does A322 affect?
- This proposal affects landlords, property management companies, and real estate developers operating in New York State that currently deploy or are considering deploying facial recognition systems for security, access control, or other purposes within residential properties. Organizations providing AI solutions to these entities are also within scope for potential business model adjustments. The bill specifically targets "facial recognition systems" and "residential premises." Primary source →
- What are the key dates for A322?
- No fixed deadline — currently in committee. Primary source →
- What is the current status of A322?
- As of the last published update, A322 is at the "committee" stage, with bill status "in committee". Primary source →
- Where can I find the primary source for A322?
- The primary source for the most recent update is at https://legislation.nysenate.gov/bills/2023/A322. AIGI publishes the full citation chain plus every approved brief on this bill. Primary source →
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