ArticleThe Hastings Center report
Digital Mental Health Tools and AI Therapy Chatbots: A Balanced Approach to Regulation.
Article in The Hastings Center report. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Automated Safety Testing and Reporting Application for Conversational Safety Monitoring of Generative AI Tools for Mental Health: Development and Validation Study.JMIR mental health · 2026Article
- Seven Desiderata for Ethical Frameworks for AI Mental Health Agents.The American journal of bioethics : AJOB · 2026Article
- Towards precision medicine in Tourette syndrome: a perspective on AI-driven predictive modelling and personalised care.Frontiers in computational neuroscience · 2026Review
- Evaluating the effectiveness of an artificial intelligence-based chatbot for reducing dental anxiety among adult dental patients.Frontiers in oral health · 2026Article
- Privacy assurances and professional-boundary warnings in generative AI mental health chatbots: a randomized vignette experiment on calibrated trust, overreliance risk, and professional help-seeking intentions.Frontiers in psychology · 2026Article
- Facts label for transparent communication of AI Risks in mental health technology.Frontiers in psychiatry · 2026Article
- Digital Mental Health Tools and AI Therapy Chatbots: A Balanced Approach to Regulation.The Hastings Center reportArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital mental health tools (DMHTs) offer a potential solution to overcoming economic, cultural, and geographic barriers to the increasing demand for mental health care, but their adoption raises significant ethical, legal, and social concerns. This article identifies ethical risks related to DMHTs and, in this light, proposes three important criteria for evaluating regulatory approaches. These approaches should (a) ensure widespread access and (b) balance access with risk management while (c) acknowledging preexisting markets and digital self-medication. Our analysis of three regulatory models-the laissez-faire approach, a highly regulated approach, and the current U.S. Food and Drug Administration approach-reveals that none satisfactorily balances the promise of access with ethical risks. We therefore suggest modifications to the current FDA approach; these involve a voluntary certification program for nonprescription DMHTs, more-stringent data safety and privacy practices, easily accessible diagnostic tools, continuous monitoring, and independent audits. These modifications secure the accessibility benefits of DMHTs while mitigating risks associated with widespread use.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.