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.