How Prevalence Inflation And Generative AI Are Goosing People Into Believing They Have A Mental Health Problem When They Don’t

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Dr. Lance B. Eliot is a world-renowned expert on Artificial Intelligence (AI) with over 7.4+ million amassed views of his AI columns. As a CIO/CTO seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research.

How Prevalence Inflation And Generative AI Are Goosing People Into Believing They Have A Mental Health Problem When They Don’tIn today’s column, I am continuing my ongoing series about the impact of generative AI in the health and medical realm.

Society has increasingly accepted the idea that people might have mental health issues. The stigma associated with getting mental health therapy has been gradually lessening. From the perspective of matching actual real-world mental health issues to the use of bona fide mental health guidance, a win of sorts has been emerging. Smiley face.

As you will see in a moment, the latest research suggests that indeed we might be failing to realize that some portion of the rising mental health crisis is built on a house made of sand. People claiming or reporting to have a mental health issue might be doing so out of false assumptions. To clarify, they aren’t lying or trying to fake a pretense.

Another refrain is that perhaps we have entered into a mode of occasioning that too much information is a bad thing. You can go online and find out about mental health in a zillion webpages of a wide-ranging fashion that includes easy-to-read simplified explanations and is oftentimes accompanied by cartoons or fanciful illustrations. The content can be very appealing, and cunningly convincing. This is not by accident, usually, and was content purposefully devised to be readily consumed by all .

Let’s start with a shocker. There are at this moment perhaps thousands or maybe millions of people leveraging generative AI for mental health advice. I assume that comes as quite a surprise, maybe it even seems implausible or doubtful.First, please be aware that modern-day generative AI gained widespread adoption via the launch of ChatGPT in November 2022. It was an overnight success. The train keeps barreling ahead and usage continues to grow.

“Second, and more problematically, we propose that awareness efforts are leading some individuals to interpret and report milder forms of distress as mental health problems. We propose that this then leads some individuals to experience a genuine increase in symptoms because labeling distress as a mental health problem can affect an individual’s self-concept and behavior in a way that is ultimately self-fulfilling.” .

Source: News Formal (newsformal.com)

Generative AI Chatgpt Openai GPT-4 Mental Health Therapy Clinical Psychology Prevalence Inflation Iatrogenic Effects Mental Disorders Illnesses Issues

 

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