There is often confusion about what AI systems are, and what people think they should be. What they are is Bayesian black boxes that use pretty basic statistic

There is often confusion about what AI systems are, and what people think they should be. What they are is Bayesian black boxes that use pretty basic statistics and probabilities. What people think they should be is far, far more complicated and nebulous. I'm not sure I fully understand, but people have been fed a lot of nonsense about AI systems, from Deep Blue to Watson to AlphaGo, etc, etc, showing them as being very powerful in limited domains, and extrapolating that out into overestimations of what they could do. The other main problem is that people seem to think that these AI systems will be a complete replacement for human thought and decision-making, which, frankly, knowing even a little about how the sausage of software is made, is completely terrifying.