Artificial intelligence expert Katharina Zweig offers readers the inside story of AI, explaining how many levers computer and data scientists must pull for its supposedly objective decision making. She presents the good and the bad: AI is accurate at sifting through billions of websites to offer up the best results for our search queries, and it has beaten reigning champions in games of chess and the ancient game GO. Drawing on her own research, Zweig shows how inaccurate AI is, for example, at predicting whether someone with a previous conviction will become a repeat offender. AI is often no better than simple guesswork, and yet it’s used to determine people’s futures. This is true in education, too, with admissions teams using AI to determine who is admitted to a college or university based on the probabilities of their retention and completion. A fun read with some real insights and challenges.