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If you go see an independent mental health professional aren’t there only two outcomes?
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They confirm you are as mentally fit as you think you are and you go on with your life (possibly with more resources than you previously had if your mental health really does take a dive).
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They identify something that is actually wrong with your mental health and help you fix or learn to cope with the issue.
I’m not seeing the downside here. Who cares if it’s coming from some shady government boogeyman or some random stranger?
Machine learning techniques are often thought of as fancy function approximation tools (i.e. for regression and classification problems). They are tools that receive a set of values and spit out some discrete or possibly continuous prediction value.
One use case is that there are a lot of really hard+important problems within CS that we can’t solve efficiently exactly (lookup TSP, SOP, SAT and so on) but that we can solve using heuristics or approximations in reasonable time. Often the accuracy of the heuristic even determines the efficiency of our solution.
Additionally, sometimes we want predictions for other reasons. For example, software that relies on user preference, that predicts home values, that predicts the safety of an engineering plan, that predicts the likelihood that a person has cancer, that predicts the likelihood that an object in a video frame is a human etc.
These tools have legitamite and important use cases it’s just that a lot of the hype now is centered around the dumbest possible uses and a bunch of idiots trying to make money regardless of any associated ethical concerns or consequences.