NJ, US · AI law tracker
S3657 — NJ, US
S3657 is an AI governance legislation from NJ, currently introduced. New Jersey S3657 renders the use of algorithmic systems to influence residential rental unit prices or supply unlawful [1]. AIGI tracks 1 primary-source update on this bill; the most recent was published on 2024-09-26.
Status & timeline
- Regulatory stage
- introduced
- Bill status
- SCU
- Authority / governing body
- New Jersey State Legislature
- Document type
- legislation
Next deadline: No fixed deadline — currently under legislative consideration.
Subscriber only
Full obligation matrix
| Actor | Obligation | Deadline | Source |
|---|---|---|---|
| other | Cease the use of algorithmic systems to influence the price and supply of residential rental units. | Upon effective date of law | — |
Subscriber only
Enforcement risk score
Announced regulation; enforcement footprint still forming.
Subscriber only
Role-based compliance checklist
- compliance_officer Monitor the legislative progress of NJ S3657. (ongoing)
- product_manager Review current use of algorithmic pricing and supply management tools in residential rental units. (Upon bill enactment)
- legal Assess the potential legal implications of Bill S3657 for business operations if enacted. (Upon bill enactment)
Subscriber only
Vendor impact assessment
- Vendor risk class
- high
- Procurement categories
- other
Vendors providing property management software or pricing optimization tools to New Jersey landlords/rental companies will be significantly impacted. They will need to verify if their systems utilize prohibited algorithmic functions and, if so, provide compliant alternatives or modifications.
Sample vendor questions
- Do your property management software solutions utilize algorithmic systems for setting or influencing rental prices or supply?
- Can your system be configured to disable or modify features that algorithmically influence rental prices or supply?
- How do you ensure compliance with state-specific regulations regarding algorithmic pricing in the residential rental market?
- What documentation can you provide regarding the design and operational logic of your pricing algorithms?
Intelligence briefs (1)
NJ S3657 Bill Targets Algorithmic Influence on Residential Rent Prices
New Jersey S3657 renders the use of algorithmic systems to influence residential rental unit prices or supply unlawful [1].
This development indicates a potential expansion of AI governance scope to include pricing algorithms in the real estate sector.
Deadline: No fixed deadline — currently under legislative consideration.
Primary source →Frequently asked questions
- What is S3657?
- New Jersey Senate Bill S3657 (2024-2025) has been introduced to prohibit the use of algorithmic systems that affect the price or supply of residential rental units [1]. The bill classifies such algorithmic influence as unlawful, aiming to regulate technology's impact on housing markets. Its current status indicates it is undergoing legislative review, but the language is precise on the intended prohibition [1]. Primary source →
- Why does S3657 matter?
- This development indicates a potential expansion of AI governance scope to include pricing algorithms in the real estate sector. Primary source →
- Who does S3657 affect?
- Organizations operating in the residential rental market in New Jersey, including property management companies, landlords, and technology providers offering rental pricing or supply management software, are within scope. This bill specifically targets algorithmic systems used to determine, recommend, or influence the cost or availability of rental units. Primary source →
- What are the key dates for S3657?
- No fixed deadline — currently under legislative consideration. Primary source →
- What is the current status of S3657?
- As of the last published update, S3657 is at the "introduced" stage, with bill status "SCU". Primary source →
- Where can I find the primary source for S3657?
- The primary source for the most recent update is at https://www.njleg.state.nj.us/bill-search/2024/S3657. AIGI publishes the full citation chain plus every approved brief on this bill. Primary source →
Related
Stay informed