AIQ

AIQ by Nick Polson and James Scott is an accessible guide to how artificial intelligence and statistical algorithms can augment human decision making, explaining core ideas from probability and Bayesian reasoning and showing when machines excel and when people should remain in control. The authors use clear, real world examples from medicine, finance, and everyday life to illustrate model uncertainty, overfitting, and the importance of pairing human judgment with machine prediction. AIQ emphasizes practical rules for using AI responsibly, spotting algorithmic mistakes, and designing systems where people and machines collaborate to make better, more reliable decisions. It is written for readers who want a grounded, nontechnical account of the promises and limits of modern machine intelligence.