When to Reject AI Solutions Despite Good Technical Performance?

The thing is that no one speaks about is that there are cases when you create an AI and it perfectly works, but it should not be used as well. Sounds crazy, right? But hear me out.
People should know why – Suppose you are a doctor, and an artificial intelligence informs you that a particular drug should be prescribed to a patient. The intelligence is correct 95 percent of the time, and it is not able to explain why the decision was made in such a way. Would you entrust it with the life of an individual? Probably not. Same with giving loans, offering jobs or any other areas where individuals have a right to know what is happening.
When the data is flimsy – This is probably because your AI is always monitoring the screens of your employees or it is just that the information it works with is the information you are not supposed to have access to. Of course, it is legal, but it is wrong. Trust that feeling. Your fantastic AI is not worth the ethical hangover or even the lawsuit that is just waiting to occur.

When it is too costly to repair – You have a friend who purchased an expensive sports car but is unable to afford to repair it. That is what transpires with overly sophisticated AI. Your crew creates something very extraordinary, and then when it collapses (and it will), you require a PhD to understand what has happened. There are cases where a 80/20 solution is sometimes a good solution than a solution that is perfect and which no one can solve.
In frightening forms when it takes the place of humans – AI doing hiring decisions without any human screening the work? The diagnosis of patients without the doctor? Renouncing employees automatically? These are situations that must make you uneasy. Even in the case of technical superiority, the human mind must remain in the loop to make critical decisions.

People hate using it – You have created the smartest chatbot in the world, and your customers are so angry at you that they are now calling your customer service line to have a chat with a human being. It does not matter whether people are not going to use technical perfection or it will make their lives more miserable.
When you are working on the wrong problem – This is the big one. It happens because, at times, we get too excited about creating nice AI to the point we question whether we need to create it. Would you be automating something that people like to do? Your problem is one that is not really there. Do you do so because AI is hot at the moment?
The reality check – Just because you can create some AI, would you want it applied to yourself, first? Am I able to describe to my grandmother how it works? Does this really improve the life of people? In case you are indecisive on one or more of these, perhaps press the brakes.