You'll never get the attention of your priest at the same level as a chatbot. Not even close, this is a whole new universe.
It will probably take a few years for the general public to fully appreciate what that means.
Then perhaps "responsiveness", even if misinterpreted as attention. In a similar way to the responsiveness of a casino slot-machine.
I think you are very optimistic if you think the general public will ever fully understand what it means
As these get more sophisticated, the general public will be less and less capable of navigating these new tools in a healthy and balanced fashion
These are all CRUCIAL data points that trained professionals also take cues from. An AI can also be trained on these but I don't think we're close to that yet AFAIK as an outsider.
People in need of therapy could (and probably are) unreliable narrators and a therapist's job is to manage long range context and specialist training to manage that.
I was gonna say: Wait until LLMs start vectorizing to sentiment, inflection and other "non content" information, and matching that to labeled points, somehow ...
... if they ain't already.-
This reminds me of the story of how McDonald's abandoned automated drive thru voice input because in the wild there was too many uncontrolled variables but speech recognition has been a "solved problem" for a long time now...
EDIT I recently had issues trying to biometrically verify my face for a service and after 20-30 failed attempts to get my face recognised I was locked out of the service so sensor-related services are a still a bit of a murky world