Automation can sometimes substitute for human work. But by reinventing jobs to optimize work between humans and automation, organizations can attract a larger and more qualified applicant pool and achieve better retention, greater safety, and increased diversity.

In this interview, Brynjolfsson and McAfee explore the implications of automation: who will win (workers with tech and creative skills), who will lose (the middle class), and how business should respond to the coming tech surge (develop ways to race with machines, not against

Arguments for using algorithms over human decision making, inlcuding research on level of accuracy and bias.

Algorithms are, in part, our opinions embedded in code. They reflect human biases and prejudices that lead to machine learning mistakes and misinterpretations.