Using Fair-Thinking Prompting Technique To Fake Out Generative AI And Get Hidden AI Prejudices Out In The Open And Dealt WithIn today’s column, I am continuing my ongoing series about the impact of generative AI in the health and medical realm. The focus this time is once again on the mental health domain and involves the ins and outs of data-training generative AI to get the AI to perform mental health therapy as a specialty..
I previously explored how well generic generative AI could do on a mental health therapist licensing exam, see the results at. The bottom line is that the generic generative AI did amazingly well, but not sufficiently impressive or convincing that you can start relying on what generically is taking place.
Consider the following. If we were able to collect together tons of therapist-client session transcripts, we could feed that data into generic generative AI or a large language model . In a manner similar to when being data trained across a wide swath of the Internet, we are merely going deeply into the mental health space.
Might there be recorded their-party expert therapist critiques of the transcripts, allowing that added data to be fed into the generative AI? My reply is that it is better to go into this with your eyes wide open. Leaping into this approach blindly without getting your ducks aligned is a surefire guarantee of failure. I am reminded of the sage wisdom stated aptly by Abraham Lincoln: “Give me six hours to chop down a tree and I will spend the first four sharpening the axe.”I suppose one of the biggest questions is whether there are enough of these kinds of transcripts available.
There is also the timing factor. A prompt that worked today might not work the same way tomorrow. Most of the generative AI apps are continually being updated. The updates might alter internal facets that could change how the AI reacts to your prompting.My opening move in this chess gambit will be to provide an actual therapist-client transcript to ChatGPT and provide a prompt that gets the AI to closely examine the transcript.
A good place to turn toward this would be whether generative AI can identify the distinct role of the mental health therapist, including how well the therapist is doing.“Overall, the clinician appears to be doing a good job of conducting therapy. Here are some aspects of their performance.: The clinician demonstrates active listening skills by reflecting back on the client's emotions and experiences, which helps the client feel heard and understood.