Artificial Intelligence

Artificial intelligence has generated a staggering amount of hype in the past several years. Topics covered include machine learning, and considers issues such as transparency, bias, liability, privacy, and regulation. The book discusses such issues as statistical definitions of fairness, legal and moral responsibility, the role of humans in machine learning decision systems, “nudging” algorithms and anonymized data, the effect of automation on the workplace, and AI as both regulatory tool and target.

This is the third edition of the all-time bestselling introduction to artificial intelligence. The new edition offers comprehensive coverage of more material, and many of the ideas presented are enhanced with a variety of side pieces, including application examples such as the Westinghouse nuclear fuel plant optimizer.

A computer scientist brings human sense to the AI bubble covering the turbulent history of AI, and the successes, hopes and emerging fears surrounding it. It provides very accessible accounts of key issues relating to AI.