This is exactly right. I've seen it time and time again: Team has a black box ML/AI solution to a "problem." Team wants to eke out better P/R or deal with some

This is exactly right. I've seen it time and time again: Team has a black box ML/AI solution to a "problem." Team wants to eke out better P/R or deal with some complex edge cases. But team's problem is fundamentally ill-posed and no amount of hacking or kludges will actually produce the success criterion that they need. The problem is the accessibility to these tools, which in many times has led folks to neglect the subject matter expertise required to effectively apply them in the first place. At least as these tools catch on in popularity in myriad problem domains, there will be a new generation of subject matter / domain experts who are familiar with them, and we'll probably jump over this hurdle.