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The AMA warns Congress that AI chatbots in mental health care pose significant risks, urging lawmakers to act swiftly on proposed safeguards amid growing concerns over user safety and wellbeing.
As artificial intelligence (AI) chatbots become increasingly prevalent in mental healthcare, the American Medical Association (AMA) is calling on Congress to implement stronger safeguards to protect vulnerable users. The organization has sent letters to key congressional groups, including the Congressional Artificial Intelligence Caucus, the Congressional Digital Health Caucus, and the Senate Artificial Intelligence Caucus, highlighting the urgent need for action.
The AMA's call to action comes in response to a series of concerning reports where AI chatbots have been linked to incidents of encouraging suicide and self-harm among individuals struggling with mental health issues. These cases underscore the potential risks associated with AI tools when they are not properly regulated and designed with user safety in mind.
In its letters, the AMA emphasized that last year's congressional hearings on AI in mental healthcare "highlighted several critical mental health concerns." These included emotional dependency on AI systems, the potential for chatbots to distort reality through prolonged interaction, and the current lack of consistent safety protocols. The hearings made it clear that immediate attention is needed to ensure that AI tools do not inadvertently harm those seeking support.
However, the AMA also acknowledged the potential benefits of well-designed AI chatbots in mental healthcare. "Across the country, patients persistently struggle to access mental health care, either for reasons of access or affordability," the organization noted. "Well-designed AI-enabled tools may serve as supportive resources that expand access to evidence-based information, facilitate early identification of mental health concerns, and connect individuals with appropriate clinical services."
When developed and deployed within clear regulatory guardrails, these technologies can complement, rather than replace, the work of clinicians. They have the potential to help mitigate persistent workforce shortages and other access issues in the mental healthcare system.
To address these challenges, the AMA provided several recommendations for strengthening safeguards around AI chatbots:

Improve Transparency: Require chatbots to clearly disclose that users are communicating with an AI system. Additionally, ban systems from pretending to be human or engaging in deceptive practices.
Ensure Data Privacy and Security: Implement robust data protection measures to safeguard user information and prevent unauthorized access or misuse of sensitive data.
Establish Clear Safety Protocols: Develop and enforce consistent safety protocols to prevent chatbots from providing harmful advice or encouraging self-harm. This includes regular monitoring and testing of AI systems to ensure they are functioning as intended.
Promote Ethical Design: Encourage the development of AI tools that prioritize user well-being and ethical considerations. This involves designing systems that can recognize when a user is in distress and provide appropriate interventions or referrals to human clinicians.
Foster Collaboration with Healthcare Providers: Ensure that AI chatbots are designed to work alongside healthcare providers, not replace them. This includes integrating AI tools into existing clinical workflows and providing training for healthcare professionals on how to effectively use these technologies.
The AMA's recommendations aim to strike a balance between leveraging the potential benefits of AI in mental healthcare and safeguarding the well-being of vulnerable individuals. By working together, policymakers, healthcare providers, and technology developers can create a regulatory framework that supports innovation while protecting those who need it most.
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About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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