Salt Lake City, UT
AI governance in Salt Lake City
On-request disclosure, and a chatbot statute
Salt Lake City concentrates healthcare delivery, health insurance, financial services, technology, and professional services. Licensed people — clinicians, therapists, accountants — and consumer tools that talk to a person are where the Utah statute actually sorts. The law is the country’s first, and it is narrower than most summaries of it.
TrustEdge serves organizations in Salt Lake City and across Utah, with engineers and assessors on-site for the work. AI Academy and agent engagements are delivered nationally.
The pressure
What Salt Lake City organizations are actually dealing with
Ordinary consumer-facing generative AI has to say it is not a person only when someone makes a clear and unambiguous request. A licensed or state-certified individual has a proactive duty, and only in a high-risk interaction. A mental health chatbot is under a separate statute with its own data and disclosure rules. Health-insurer disclosure of AI in preauthorization takes effect January 1, 2027, not before.
Sectors we serve here
- Healthcare
- Health insurance
- Financial services
- Technology and professional services
Healthcare, licensees, and consumer tools
Salt Lake City’s buyers, for this work, cluster in healthcare delivery, health insurance, financial services, technology, and professional services. Licensed people are a large part of that mix: clinicians, therapists, accountants, and the firms around them. Consumer-facing tools are the other part. No hospital system, vendor, or individual is identified on this page. It describes the industry mix the Utah statute actually sorts, not a client list.
Utah passed the first US AI-focused consumer protection statute, effective May 1, 2024, and then cut it back a year later. Our Utah regulation page’s tagline is the correction to most summaries: the law is narrower than those summaries say. SB 226 and SB 332, both effective May 7, 2025, moved the consumer duties into a new chapter, narrowed the proactive disclosure obligation for licensed professionals to high-risk interactions only, added a safe harbor, and extended the sunset on the Office of AI Policy to July 1, 2027. A separate 2025 law, HB 452, effective the same day, regulates AI mental health chatbots. SB 319, on AI in health-insurance preauthorization, takes effect January 1, 2027. Those are the dates our Utah regulation page states.
Ordinary consumer disclosure is on request
Under Utah Code 13-75-103(1), a supplier using generative AI to interact with an individual in connection with a consumer transaction must disclose that the individual is dealing with generative AI and not a human only if that individual asks or otherwise prompts the supplier about it. The statute adds a further limit. The question must be a clear and unambiguous request to determine whether the interaction is with a human or with artificial intelligence. There is no proactive labeling requirement for ordinary consumer-facing generative AI in Utah. A page that says Utah requires disclosure whenever generative AI is used is describing the pre-2025 statute.
Chapter 75 uses the Utah Consumer Sales Practices Act meaning of a consumer transaction, so purely business-to-business use is largely outside it. The on-request rule is the rule for those consumer transactions. It is not a duty this page will paste onto every deployment in the city. A supplier that wants the question to go away can take the safe harbor in section 13-75-104: the generative AI clearly and conspicuously discloses, at the outset of the interaction and throughout it, that it is generative AI, is not human, or is an AI assistant. That person is then not subject to an enforcement action under 13-75-103. Persistent labeling takes the high-risk analysis off the table for that section. It does not take HB 452 off the table. The safe harbor is written for 13-75-103; it does not reach Chapter 72a.
Section 13-75-102 states that it is not a defense to violating any statute the Division of Consumer Protection administers that generative AI made the violative statement, undertook the violative act, or was used in furtherance of the violation. The limit is the statutes that division administers. It is not a sentence about every law in the state. It survived the 2025 narrowing. Our Utah regulation page calls it the most consequential sentence in the chapter, because existing consumer protection law applies to model output as it applies to a human employee’s statements.
The proactive duty sits on the licensed person
Section 13-75-103(2) requires an individual providing services in a regulated occupation to prominently disclose generative AI use when that use constitutes a high-risk AI interaction. The disclosure is verbal at the start of a verbal interaction, and in writing before the start of a written one. A regulated occupation means one regulated by the Utah Department of Commerce that requires a license or state certification. Our Utah regulation page names clinicians, therapists, accountants, and similar licensees. The duty is written on the individual providing the service, not on the corporate deployer behind the tool. An institutional policy does not, by itself, discharge it. That is a scripting and training problem, and it is the kind of obligation that fails quietly when only the institution was told.
A high-risk AI interaction, under section 13-75-101(5), is an interaction with generative AI that involves the collection of sensitive personal information, which the statute lists as health, financial, or biometric data, or the provision of personalized recommendations, advice, or information that could reasonably be relied upon to make significant personal decisions. Those decisions expressly include financial, legal, medical, or mental health advice or services. A third limb lets the Division of Consumer Protection add applications by rule, so the definition can grow without a legislative session. The category is not any use of a model. A back-office draft that never collects health, financial, or biometric data, and never offers advice a person could reasonably rely on for a significant personal decision, is not in this definition unless a later rule puts it there.
Mental health chatbots are the operational file
Utah Code 13-72a-101(10) defines a mental health chatbot as AI technology that uses generative AI for interactive conversations similar to the confidential communications a person would have with a licensed mental health therapist, and that the supplier represents, or a reasonable person would believe, can provide mental health therapy or help manage or treat mental health conditions. The definition expressly excludes tools that only produce scripted output, such as guided meditations, and tools that only analyze input to connect someone with a human therapist. The reasonable-person limb means marketing language can pull a product into scope that was not built as a therapy product. Chapter 72a reaches suppliers of mental health chatbots used by anyone physically located in Utah at the time of use, regardless of where the supplier sits.
A supplier may not sell or share a Utah user’s individually identifiable health information or user input with any third party. The exceptions are narrow: a provider or health plan, at the user’s request, or a contracted vendor needed for functionality. In that vendor case both parties must comply with the HIPAA privacy and security rules as if the supplier were a covered entity and the vendor a business associate, whether or not either actually is. In-conversation advertising is permitted only if it is clearly identified as advertising, with sponsorship and affiliation disclosed. User input may not be used to decide whether to advertise, what to advertise, or how to present an advertisement, except for the chatbot itself. Non-human disclosure must be made before the user can access the chatbot’s features, again at the start of any interaction after seven days of non-use, and any time the user asks.
Section 58-60-118 gives suppliers an affirmative defense against unlicensed mental health practice claims under 58-1-501(1) and (2). The defense is conditioned on filing a written policy with the Division of Consumer Protection, on maintaining development documentation covering foundation models, training data, HIPAA compliance, data practices, and accuracy work, and on actually complying with the filed policy. The policy has to describe fifteen specified procedures. Our Utah regulation page lists, among them, involvement of licensed therapists in development and review, pre-launch and ongoing testing that output poses no greater risk than therapy with a licensed therapist, identification of foreseeable adverse outcomes, a user reporting mechanism, real-time protocols for acute risk of physical harm, regular objective safety and efficacy reviews, and prioritizing user safety over engagement metrics. Our Utah regulation page calls that an evaluation and red-teaming program written into statute. The filing buys the defense. It is not, by itself, a free-standing order to file, and filing it is not a certification. TrustEdge does not issue one. The Division of Consumer Protection administers Chapter 72a as well as Chapter 75.
Health insurers have a 2027 date
SB 319 takes effect January 1, 2027, and not before. An insurer must post on its public website a notice that it uses AI in reviewing authorization requests, if applicable, and must disclose that use to the Insurance Department, to every network provider, and to every enrollee. The definition expressly includes generative AI. Separately, the individual reviewing an adverse preauthorization determination must use independent medical judgment and may not rely solely on recommendations from any other source. The bill also sets maximum determination timeframes and expands preauthorization statistics reporting. This page does not state hour counts, because the provision description does not state them. If AI touches authorization review, our Utah regulation page treats the inventory of those touches as a filing input by the effective date. SB 319 is enforced through the Utah Insurance Department.
The July 1, 2027 repeal date is easy to over-read. It reaches Title 13, Chapter 72, the Office of AI Policy and its learning laboratory. It does not reach the disclosure duties in Chapter 75 or the chatbot rules in Chapter 72a. Neither of those chapters carries a repeal date. HB 320, effective May 6, 2026, added joint interpretation agreements, under which a participant, the Office, and the relevant agency or governmental entity agree on how a provision of state law applies to a specific AI system. Demonstration periods run 12 months, with up to two 12-month extensions. That route exists for a system whose Utah legal status is genuinely unclear. It is not a finding about any system this page has not seen.
How the work is delivered in Salt Lake City
TrustEdge serves organizations in Salt Lake City and across Utah. The inventory is taken on-site with the teams that run the consumer-facing tools. The engagement is an inventory of where generative AI meets a consumer, a licensed person, a product that might meet the mental-health chatbot definition, or an authorization review, and a reading of which of these Utah rules reach that use. An administrative fine runs up to $2,500 for each violation of Chapter 75 or Chapter 72a. In a court action the Division may obtain an injunction, disgorgement, and a fine of up to $2,500 per violation, and on a judgment or injunction the court must award the Division reasonable attorney fees, court costs, and investigative fees. Violating an administrative or court order issued under either chapter carries a civil penalty of up to $5,000 per violation. Per-violation counting is why the figures scale with interactions rather than with incidents. Neither chapter creates an express private right of action. Section 13-75-106 states that the chapter does not displace any other remedy or right under state or federal law.
The AI Academy readiness assessment is a free, short diagnostic and a scorecard. It is not this inventory. The governance readiness assessment is the fixed-scope review described on its service page: an inventory of the systems in use, a note on what already sits inside a certification boundary, a reading of the contracts, and a gap list against ISO/IEC 42001 and the NIST AI Risk Management Framework. See the AI Governance and AI Academy pages for how each offer is scoped. The titles below are taken from our Utah regulation page, and the blurbs under them are that page’s wording. Nothing in this body adds a penalty, a date, or a definition that page does not already give. TrustEdge is a HITRUST Authorized External Assessor. That credential qualifies assessment work. It is not a HITRUST certification, and it is not a claim of any other certification or authorization.
Regulatory context
The Utah rules that reach Salt Lake City buyers
The first state AI law in the country, and narrower than almost every summary of it says. Utah amended its disclosure duty down in 2025 — most businesses now disclose only when a customer clearly asks.
The general disclosure duty is on request only
Under Utah Code 13-75-103(1), a supplier using generative AI to interact with an individual in connection with a consumer transaction must disclose that the individual is dealing with generative AI and not a human only if that individual asks or otherwise prompts the supplier about it. The statute adds a further limit: the question must be "a clear and unambiguous request to determine whether the interaction is with a human or with artificial intelligence." There is no proactive labeling requirement for ordinary consumer-facing generative AI in Utah. A page that tells you Utah requires disclosure whenever generative AI is used is describing the pre-2025 statute.
The proactive duty applies to licensed individuals in high-risk interactions
Section 13-75-103(2) requires an individual providing services in a regulated occupation to prominently disclose generative AI use when it constitutes a high-risk AI interaction — verbally at the start of a verbal interaction, and in writing before the start of a written one. Two limits are easy to miss. A regulated occupation means one regulated by the Utah Department of Commerce that requires a license or state certification, so this reaches clinicians, therapists, accountants and similar licensees. And the duty is written on the individual providing the service, not on the corporate deployer behind the tool.
HB 452 — what is and is not a mental health chatbot
Utah Code 13-72a-101(10) defines a mental health chatbot as AI technology that uses generative AI for interactive conversations similar to the confidential communications a person would have with a licensed mental health therapist, and that the supplier represents — or a reasonable person would believe — can provide mental health therapy or help manage or treat mental health conditions. It expressly excludes tools that only produce scripted output such as guided meditations, and tools that only analyze input to connect someone with a human therapist. The "reasonable person would believe" limb means marketing language can pull a product into scope that the engineering team never intended to be therapeutic.
SB 319 — AI in health insurance preauthorization from 2027
Effective January 1, 2027, an insurer must post on its public website a notice that it uses AI in reviewing authorization requests, if applicable, and must disclose AI use to the Insurance Department, to every network provider, and to every enrollee. The definition expressly includes generative AI. Separately, the individual reviewing an adverse preauthorization determination must use independent medical judgment and may not rely solely on recommendations from any other source. The bill also sets maximum determination timeframes and expands preauthorization statistics reporting.
All Utah AI provisions, in full →
Reviewed against primary sources as of September 14, 2026.
This page summarizes public law for orientation and is not legal advice.
How we help
What we do in Salt Lake City
Other markets we serve on-site
- San Francisco, CAWhere the AI is the product
- San Jose, CASelling AI into regulated buyers
- Oakland, CAAI inside the HIPAA boundary
- Alameda, CAOur home market
- Sacramento, CAWhere the rules are written, and applied
- Omaha, NEYour regulator is rarely in your state
- Nashville, TNHealthcare and a recorded voice, under narrow laws
- Chattanooga, TNOperations running ahead of any AI statute
- Richmond, VANo Virginia AI Act to comply with
- Arlington, VACustomer contracts, not a Virginia AI act
- Austin, TXIntent-based rules, and no city overlay
- Denver, CORepealed and replaced before it took effect
- Memphis, TNTwo deepfake statutes, and no comprehensive law
- San Antonio, TXPrivate biometric consent, government-only bans
- Baltimore, MDFrameworks, contracts, and other states
- Pittsburgh, PANarrow laws, and enforcement already underway
- Tampa, FLNo comprehensive statute, and a deceptive-practices theory
- Providence, RISeveral buyer types, and separate inventories
- Albany, NYEnacted, in three layers that rarely meet
Talk to us about AI governance in Salt Lake City
No pitch, no pressure. We will tell you what is actually in scope and what an assessor will accept.
