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What happens when AI becomes the first confidant in a mental health crisis?

While chatbots may offer an apparently non-judgmental space to discuss suicide-related distress, they cannot assess risk or replace human intervention; repeated conversations may, in some cases, delay help-seeking, say experts

What happens when AI becomes the first confidant in a mental health crisis?

As mental health concerns amongst young people increasingly involve artificial intelligence, experts caution that this emerging trend raises important concerns regarding safety and appropriateness of AI use in such scenarios. For many young individuals, AI chatbots have become the first individuals they consult when they experience distress.

These chatbots offer immediacy, do not appear to judge, and provide instant responses. Yet, when conversations delve into suicidal ideation, the implications of this reliance become significant.

A study of 1,009 individuals aged 12 to 21, published in JAMA Pediatrics, found that 19.2% had utilized AI chatbots for mental health advice. Among these users, 43% sought assistance monthly, while a smaller percentage did so daily. Interestingly, nearly two-thirds of these users did not disclose their use to anyone. An analysis of ChatGPT interactions revealed that 4.9% of conversations could be classified as involving mental health concerns, although only 0.21% met a stricter criteria of an identifiable person explicitly seeking help.

The limitations of AI become particularly evident when considering the nuanced nature of suicidal thoughts. While chatbots are adept at recognizing low- and high-risk scenarios, they struggle with intermediate levels. This discrepancy is concerning since suicidal distress rarely manifests in a straightforward manner, often emerging through subtle or evolving cues.

Mithun Prasad, a consultant psychiatrist, emphasized that suicidal distress is rarely expressed directly, often requiring contextual understanding and consistency in conversation analysis. Sabaresh Pandiyan, another psychiatrist, highlighted the 'internal loop' effect among younger users, where the empathetic nature of AI responses may fail to prompt professional help-seeking behavior. Repeated reassurance from AI can even make suicidal thoughts seem less urgent.

The potential for AI to exacerbate distress is another significant concern. Psychiatrists observe that patients may use AI to discuss personal issues before seeking professional help, which can lead to prolonged rumination or validation of negative thoughts. Dr. Nithya M. pointed out that patients might quote AI responses verbatim, withdraw from human support, or develop a fixed mindset based on chatbot interactions.

While there are instances where patients use AI between psychiatric appointments to track medication effects or organize thoughts, this does not replace the need for clinical assessments.

Experts call for mandatory safety audits, independent clinical assessments, and clearer liability frameworks for AI companies. Public education on the appropriate use of AI in mental health contexts is also necessary. Ultimately, the priority in any mental health crisis should remain timely human assessment and support. AI cannot substitute for this critical care.

Written by urgent.news from The Hindu Health's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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