Fast to the wrong answer is not a good business or scientific strategy. Slow, but rigorous, analysis does not meet business or scientific needs either. It has to be "and."
There is a lot of confusion over what data science is and how it is the same or different from statistics or other data analytic fields such as epidemiology or econometrics. This is my attempt to describe the "big tent" of Analytics.
Implicit models in the back of our minds can creep into explicit models creating biased predictions that have societal implications.
If we fail to acknowledge that we have biases and assumptions that influence our assessment of 'objective facts,' then we delude ourselves. Our perception of reality and how we judge evidence is colored by our beliefs which arise from our specific experiences.
What if AI in healthcare is the next asbestos?
It is easy to get an answer; it is very difficult to assess the quality of that answer.
Protect yourself from polio ... don't eat ice cream!