Cracking Open Black Boxes

Algorithms can be very useful, but lately, with so much data being created and shared, and with the increase in their use in critical areas such as hiring, credit, and health care, algorithms are under intense scrutiny about their fairness. People experience the effects of an algorithm's conclusion, but the data and steps that form the basis for that conclusion are frequently hidden from them (as if inside a black box). Cathy O'Neil talks about the unfairness of most predictive algorithms.