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Generative AI mental health agents offer scalable, low-cost support for unmet behavioral health needs, yet raise complex policy challenges. We summarize findings from Utah’s regulatory review, which informed legislation and best-practice guidance. Key insights include stakeholder divergence, evolving risk-benefit considerations, and the need for adaptive regulation. We advocate for evidence-based protocols, continuous monitoring, and holistic, inclusive policymaking to ensure safe, effective integration of these agents into mental health care.
Lacy et al. (Fri,) studied this question.