Implicit Bias Controversy Based on Misunderstandings
Implicit bias, and especially the Implicit Association Test (IAT), has been the subject of recent debate in both scientific and popular press. Is the IAT accurate? Are its findings useful? Does the concept of implicit bias impede efforts to address explicit bias? A new piece in Scientific American argues that the controversy around implicit bias and the IAT is based on fundamental misunderstandings. For example, the IAT isn't designed to predict individual behavior, like how a particular physician will interact with a particular patient. Rather, the aggregate data can help predict (and correct) big-picture functions.