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.
In today’s column, I am continuing my ongoing series about the impact of generative AI in the health and medical realm.
Speaking of predictions, in 1975 he made a notable prediction about advances in AI and the role of AI in performing psychotherapy. “No such computer program is adequate for psychiatric use today, but the same can be remarked about some human psychotherapists.
Okay, the crux is that we should compare AI-powered psychotherapy not against some false sense of psychanalysis perfection, but instead against the levels of performance attainable by human therapists.. Sure, if we could get AI to perfectly perform psychotherapy, we would relish such an accomplishment. Meanwhile, even if AI can “only” perform on a comparable level to human therapists, we ought to find this roughly acceptable, all else being equal.
Another point Carl Sagan made was that the network of these psychotherapeutic terminals would likely be arrayed in large telephone booths. The logic involved was that a person would want sufficient privacy when undertaking AI-based psychotherapeutic consultation. By being able to sit in an enclosed telephone booth, you could be somewhat assured that no one else nearby could overhear your conversation with the AI.
The cost aspect gets even lower for today’s generative AI since many of the AI makers are providing their generative AI available for free. This might come with limitations such as the frequency of use or length of use at one time. We might say that the use of AI for therapy could be pennies rather than dollars. All in all, the hope is that therapy can finally become widespread and no longer limited by affordability.
The sad face status is that currently there is little if any testing taking place of generative AI mental health usage of a generalized nature, while there is some testing occurring for AI-based mental health chatbots but even that is often difficult or unconvincing. See my coverage at. An additional complication is that generative AI is devised so that it uses probabilities when choosing words for generated results.
Another meaning of being non-directive is that the AI would be more so of a listening nature rather than a telling nature. A human therapist might be in a hurried mode and decide to demonstrably instruct the patient on what they should do. It could also be their personal style or a style dictated by the therapeutic framework being used. In the case of generative AI, those are all readily adjustable parameters.
“The script is a set of rules rather like those that might be given to an actor who is to use them to improvise around a certain theme. Thus, ELIZA could be given a script to enable it to maintain a conversation about cooking eggs or about managing a bank checking account, and so on. Each specific script thus enabled ELIZA to play a specific conversational role.”
To illustrate how ELIZA functioned when using the psychotherapy script, I went ahead and found a running copy online. Be cautious if you do this because there are bogus versions that are sneaky instances put up by cyber crooks and will try to steal your identity or download a computer virus to your device.
That’s somewhat messed up. It would seem obvious to a human that I mentioned having been a child because I was answering the question of how long I have been concerned about the future. A human would easily parse my sentence and would be unlikely to ask a seemingly confused or disquieting oblivious question.
ChatGPT is a logical choice in this case due to its immense popularity as a generative AI app. An estimated one hundred million weekly active users are said to be utilizing ChatGPT. That’s a lot of people and a lot of generative AI usage underway.If you are going to try to do the same prompts that I show here, realize that the probabilistic and statistical properties will likely produce slightly different results than what I show here. That’s the nature of generative AI and how it is devised.
Note that I began the conversation by giving a prompt to ChatGPT telling it to essentially take on the persona of a therapist. This aided ChatGPT toward contextually going into a computational pattern-matching mode of that nature.
Generative AI Large Language Models Llms Chatgpt Openai Mental Health Therapy Clincial Psychology Carl Sagan Predictions Psychotherapeutic Treatment
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