How people and machines are smarter together

Nick Polson, James Scott 2018 Beaverton 620.82 POL

Mentions of robot cars; the usual conflation of all drivers in all circumstances compared to a few million miles driven in limited circumstances, and the usual either/or rather than "both". Most drivers are sometimes incompetent, some drivers are mostly incompetent. Should mostly-competent robot cars replace the most competent drivers? Who pays for this expensive imposition?

I'm a cyclist. Will self-driving (robot) cars include the extra expense of detecting cyclists, or will municipalities prohibit cyclists on roads?

Other than that, most of the book is useful and interesting. Much of it is about answering questions with "big" data, and common errors in mathematical reasoning. Bayesian analysis is lauded, but not described well enough for John Q. Average to calculate it. Florence Nightingale is featured as an data-driven analyst, not "merely" the founder of modern nursing and hospital design.

Dimaggio hot hand effects, birth control, traffic accidents. This should temper optimism about the specifics of robot cars, and the errors inherent in overgeneralization.

AIQ (last edited 2018-12-31 20:21:01 by KeithLofstrom)