IA, US · AI law tracker
SF 2106 — IA, US
SF 2106 is an AI governance legislation from IA, currently introduced. The bill prohibits landlords from using algorithmic rent-setting systems that rely on nonpublic competitor data to coordinate pricing [3]. AIGI tracks 1 primary-source update on this bill; the most recent was published on 2026-01-26.
Status & timeline
- Regulatory stage
- introduced
- Bill status
- introduced
- Authority / governing body
- Iowa Legislature
- Chamber
- senate
- Document type
- legislation
Next deadline: No fixed deadline — effective upon enactment.
Subscriber only
Full obligation matrix
| Actor | Obligation | Deadline | Source |
|---|---|---|---|
| landlord | Shall not enter into or engage in price fixing with another landlord regarding rent for residential rental property. | — | — |
| landlord | Shall not use an algorithmic rent-setting system that relies on nonpublic competitor data or coordinates pricing with other landlords to set or adjust rent or occupancy levels for residential rental property. | — | — |
| provider | Shall not provide an algorithmic rent-setting system that uses or incorporates nonpublic competitor data in a manner that fixes, stabilizes, raises, or maintains the level of rent or occupancy for residential property. | — | — |
| provider | Shall not provide an algorithmic rent-setting system that the provider knew or reasonably should have known would be used for price fixing. | — | — |
| provider | Shall not enter into any agreement with two or more landlords to limit or restrain competition in setting rent or terms of tenancy using the algorithmic rent-setting system. | — | — |
Subscriber only
Enforcement risk score
Announced regulation; enforcement footprint still forming.
Subscriber only
Role-based compliance checklist
- ceo Be aware of and understand the proposed prohibitions on algorithmic rent-setting and price fixing for residential properties.
- general_counsel Review the details of SF 2106 to assess potential legal implications for the company's rental pricing strategies and AI tools.
- compliance_officer Conduct an internal audit of existing rent-setting practices and algorithmic systems to identify any reliance on nonpublic competitor data or coordination with other landlords.
- product_manager Evaluate algorithmic rent-setting system designs and functionalities to ensure they do not use nonpublic competitor data to fix or coordinate rent, and facilitate independent individualized human review if applicable.
- engineering Implement technical changes to algorithmic rent-setting systems to remove reliance on nonpublic competitor data and ensure independent human review in decision-making processes.
Subscriber only
Vendor impact assessment
- Vendor risk class
- high
- Procurement categories
- other
Vendors providing algorithmic rent-setting systems must ensure their products do not use nonpublic competitor data for price fixing or coordinate pricing, and must facilitate independent human review. Landlords should scrutinize vendor offerings for compliance with these proposed prohibitions.
Sample vendor questions
- Does your algorithmic rent-setting system use nonpublic competitor data to set or recommend rent levels?
- How does your system prevent coordination of pricing with other landlords?
- What mechanisms are in place to ensure independent individualized human review of rent levels suggested by your system?
- Can you provide documentation demonstrating your system's compliance with anti-collusion and fair housing principles?
- What diligence do you conduct to ensure your system is not designed or intended to facilitate coordination among landlords?
Intelligence briefs (1)
Iowa Bill Targets AI-Powered Residential Rent Price Fixing
The bill prohibits landlords from using algorithmic rent-setting systems that rely on nonpublic competitor data to coordinate pricing [3].
This introduces specific algorithmic transparency and anti-collusion obligations for AI systems used in rent-setting, impacting deployer responsibilities and vendor relationships.
Deadline: No fixed deadline — effective upon enactment.
Primary source →Frequently asked questions
- What is SF 2106?
- Iowa Senate File 2106, the "Iowa Residential Rent Fairness and Anticollusion Act," proposes to prohibit price fixing in residential rental property markets. The bill specifically defines and targets the use of "algorithmic rent-setting systems" that rely on nonpublic competitor data to set or coordinate rent levels [1], affecting landlords controlling five or more residential rental properties [2]. It outlines prohibited acts for both landlords and system providers. Primary source →
- Why does SF 2106 matter?
- This introduces specific algorithmic transparency and anti-collusion obligations for AI systems used in rent-setting, impacting deployer responsibilities and vendor relationships. Primary source →
- Who does SF 2106 affect?
- Landlords owning, leasing, subleasing, or controlling five or more residential rental properties in Iowa are directly impacted by the bill's prohibitions. Providers of algorithmic rent-setting systems, defined as persons who design, develop, market, sell, license, or operate such systems, are also within scope. This legislation specifically targets AI use cases involving automated rent or occupancy level adjustments based on nonpublic competitor data, especially when used without independent individualized human review or decision-making. Primary source →
- What are the key dates for SF 2106?
- No fixed deadline — effective upon enactment. Primary source →
- What is the current status of SF 2106?
- As of the last published update, SF 2106 is at the "introduced" stage, with bill status "introduced". Primary source →
- Where can I find the primary source for SF 2106?
- The primary source for the most recent update is at https://www.legis.iowa.gov/publications/search/document?fq=id:1596461&q=artificial+intelligence. AIGI publishes the full citation chain plus every approved brief on this bill. Primary source →
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