Since OpenAI’s debut of ChatGPT in 2022, the use of generative AI platforms has skyrocketed. It’s being used to enhance productivity and streamline processes, for research and writing, or even to create images or videos. From the average user to Fortune 500 companies, the possibilities — and applications — seem endless. And in the mental health industry, the possibility of AI’s ability to move the needle in addressing accessibility gaps to therapy, provider shortages, or even reducing documentation time are notable.
But these systems aren’t perfect. This past September, CBS and NPR News reported on testimony to Congress from parents who expressed concern about the dangers of AI technology after their teenagers took their own lives following interactions with artificial intelligence chatbots.
So what are the risks for the average person using AI for mental-health advice or support? Should there be rules to safeguard how these models function within the mental health landscape, or when being utilized by someone showing signs of mental health crises? And what role can clinicians, educators, and professional organizations play in guiding safe use of AI for mental health?
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