Minnesota House Bill HF2452

Minnesota 2025-2026 Regular Session

• Introduced: 3/17/25
• Refer: 3/17/25

Caption

Artificial intelligence use to dynamically set product prices prohibited.

Impact

If passed, HF2452 would establish a new legal framework in Minnesota that regulates the interaction between AI systems and pricing mechanisms in the marketplace. The bill proposes to amend Minnesota Statutes, specifically creating section 325F.997, which outlines these prohibitions clearly. The enforcement of this law would fall under the jurisdiction of the attorney general, giving the state a mechanism to hold businesses accountable for violations. This could have significant implications for industries heavily reliant on AI for pricing strategies, compelling them to adjust their business models to comply with new regulations and possibly affecting profit margins.

Summary

House File 2452 (HF2452) is a bill aimed at consumer protection in the context of pricing strategies influenced by artificial intelligence (AI). Specifically, it prohibits the use of AI technologies to dynamically adjust product prices based on various market factors such as demand, competitor pricing, and inventory levels. The bill establishes the premise that allowing AI to determine pricing in real time can lead to unfair market practices and consumer exploitation. This legislation seeks to maintain fairness in pricing and protect consumers from potential price gouging or manipulative tactics employed by businesses.

Contention

Discussions surrounding HF2452 are expected to reveal various viewpoints among stakeholders. Proponents of the bill argue that it is essential to safeguard consumers from potential abuses of AI technology in pricing. They highlight instances where dynamic pricing could lead to inflated prices, particularly for vulnerable populations. Conversely, critics may contend that this regulation could stifle innovation and restrict the competitive advantages that AI technology can offer in pricing strategies. They may advocate for a more nuanced approach that includes best practices for AI usage rather than an outright prohibition, highlighting the need for balance between regulation and technological advancement in business operations.