At some point it might be useful to distinguish between
lookups (google) - finding information that matches the actual words in the questions
expert systems (many automated help desks) - traversing a pre-programmed decision tree to follow the right branch
AI (chatGpt and others) - learning systems that are trained on large amounts of data and return answers based on that training
Lookups are as good as the user who consumes the returned data. Expert systems are as good as the "expert" who created the decision tree. AI is as good as the training material and the trainer which in some ways is a combination of the previous two.
To me, the most frightening thing about AI is the level of confidence people are likely to give the results. Some very specialized AI will be trained on tightly controlled data sets by true experts in the field. Much AI will be trained on the internet with all its bad information, trained by a human with all their inherent biases, and trained in a hurry in order to make a buck - not a system that should inspire the confidence it will likely be given.
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Why do people insist on making claims without looking them up first, do they really think no one will check? Proof by emphatic assertion rarely works.
Confirmation bias is real; I can find any number of articles that say so.
Victor, NY - Randallstown, MD - Yakima, WA - Stevensville, MD - Village of Hillsborough
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