Introduction
Utah has taken a pioneering step in the regulation of Generative AI (GenAI) with the enactment of S.B. 149, marking a significant milestone in U.S. legislative history.
Effective May 1, 2024, this legislation establishes Utah as the first state to introduce comprehensive laws tailored specifically for GenAI.
The inclusion of statutory damages underscores the seriousness of this initiative by the Utah legislature, indicating potential substantial ramifications for businesses operating within the state.
Key provisions of the law include:
- The extension of consumer protection regulations to encompass GenAI usage
- Mandatory disclosure requirements for private sector entities utilizing GenAI, and
- The establishment of the Office of Artificial Intelligence Policy. This office will oversee various responsibilities, including the administration of an artificial intelligence learning laboratory program, positioning Utah at the forefront of AI governance in the United States.
General Application of Consumer Protection Law
Generative AI, as defined by the Utah AI Policy Act, refers to any artificial system that (i) is trained on data, (ii) interacts with individuals through text, audio, or visual communication, and (iii) produces non-scripted outputs that mimic human-generated responses with little to no human intervention.
- made the violative statement
- undertook the violative act, or
- was used in furtherance of the violation.
In essence, entities are held accountable for the actions of the generative artificial intelligence tools they deploy. The Act also amends the Utah Consumer Protection Act to state that deidentified data includes synthetic data. Synthetic data is defined as “data that has been generated by computer algorithms or statistical models and does not contain personal data.”
Disclousure of Generative Artificial Intelligence
- Interactions Administered and Enforced by the Utah Division of Consumer Protection: Entities falling into this category must disclose the use of GenAI in a reactive manner. They are required to “clearly and conspicuously disclose to the person with whom the generative artificial intelligence interacts, if asked or prompted by the person, that the person is interacting with generative artificial intelligence and not a human.” The bill does not specify the exact method for this disclosure, allowing flexibility in its implementation.
- Regulated Occupations: This category applies to occupations regulated by the Utah Department of Commerce, which require licensure or state certification. Individuals providing services in regulated occupations must “prominently disclose when a person is interacting with generative artificial intelligence in the provision of regulated services.” This disclosure must be made verbally at the beginning of an oral exchange and through electronic messaging before a written exchange.
Different timing of disclosures
This distinction ensures that while general businesses maintain transparency upon request, regulated professions provide upfront clarity, safeguarding consumer interactions with AI across various licensed services.
Artificial Intelligence Policy Act
This program is designed to develop and recommend future regulations for AI technologies.
Penalties
New Office and AI Learning Laboratory Program
- Manage the AI Learning Laboratory Program (Learning Lab).
- Consult with Utah businesses and stakeholders regarding regulatory proposals.
- Conduct rulemaking on various aspects, including application procedures, data usage limitations, cybersecurity criteria, and consumer disclosures for Learning Lab participants.
- Annually report to the Business and Labor Interim Committee on the Learning Lab’s agenda, outcomes, findings, and recommended legislation.
- Ability to develop and test AI technology with reduced liability risks.
- Potential benefits such as delayed restitution payments, a cure period before penalties is imposed, and reduced civil fines during the participation term.
Author:
Kosha Doshi, Legal Intern Data Privacy and Digital Law at E.U. Digital Partners
Kosha is a co-author of “Facial Recognition at CrossRoads: Policy Perspectives on Disruption and Innovation” at Closing the Gap 2023 | Emerging and Disruptive Technologies: Regional Perspectives Conference in the Hague, Netherlands.