Few academic ideas have been as eagerly absorbed into public discourse in recent years as “implicit bias.” Embraced by a president, a would-be president, and the nation’s top law-enforcement official, the implicit-bias conceit has launched a movement to remove the concept of individual agency from the law and spawned a multimillion-dollar consulting industry. The statistical basis on which it rests is now crumbling, but don’t expect its influence to wane anytime soon.
Implicit bias purports to answer the question: Why do racial disparities persist in household income, job status, and incarceration rates, when explicit racism has, by all measures, greatly diminished over the last half-century? The reason, according to implicit-bias researchers, lies deep in our brains, outside the reach of conscious thought. We may consciously embrace racial equality, but almost all of us harbor unconscious biases favoring whites over blacks, the proponents claim. And those unconscious biases, which the implicit-bias project purports to measure scientifically, drive the discriminatory behavior that, in turn, results in racial inequality.
The need to plumb the unconscious to explain ongoing racial gaps arises for one reason: it is taboo in universities and mainstream society to acknowledge intergroup differences in interests, abilities, cultural values, or family structure that might produce socioeconomic disparities.
The implicit-bias idea burst onto the academic scene in 1998 with the rollout of a psychological instrument called the implicit association test (IAT). Created by social psychologists Anthony Greenwald and Mahzarin Banaji, with funding from the National Science Foundation and National Institute of Mental Health, the IAT was announced as a breakthrough in prejudice studies: “The pervasiveness of prejudice, affecting 90 to 95 percent of people, was demonstrated today . . . by psychologists who developed a new tool that measures the unconscious roots of prejudice,” read the press release.
The race IAT (there are non-race varieties) displays a series of black faces and white faces on a computer; the test subject must sort them quickly by race into two categories, represented by the “i” and “e” keys on the keyboard. Next, the subject sorts “good” or “positive” words like “pleasant,” and “bad” or “negative” words like “death,” into good and bad categories, represented by those same two computer keys. The sorting tasks are then intermingled: faces and words appear at random on the screen, and the test-taker has to sort them with the “i” and “e” keys. Next, the sorting protocol is reversed. If, before, a black face was to be sorted using the same key as the key for a “bad” word, now a black face is sorted with the same key as a “good” word and a white face sorted with the reverse key. If a subject takes longer sorting black faces using the computer key associated with a “good” word than he does sorting white faces using the computer key associated with a “good” word, the IAT deems the subject a bearer of implicit bias. The IAT ranks the subject’s degree of implicit bias based on the differences in milliseconds with which he accomplishes the different sorting tasks; at the end of the test, he finds out whether he has a strong, moderate, or weak “preference” for blacks or for whites. A majority of test-takers (including many blacks) are rated as showing a preference for white faces. Additional IATs sort pictures of women, the elderly, the disabled, and other purportedly disfavored groups.
Greenwald and Banaji did not pioneer such response-time studies; psychologists already used response-time methodology to measure how closely concepts are associated in memory. And the idea that automatic cognitive processes and associations help us navigate daily life is also widely accepted in psychology. But Greenwald and Banaji, now at the University of Washington and Harvard University, respectively, pushed the response-time technique and the implicit-cognition idea into charged political territory. Not only did they confidently assert that any differences in sorting times for black and white faces flow from unconscious prejudice against blacks; they also claimed that such unconscious prejudice, as measured by the IAT, predicts discriminatory behavior. It is “clearly . . . established that automatic race preference predicts discrimination,” they wrote in their 2013 bestseller Blind Spot, which popularized the IAT. And in the final link of their causal chain, they hypothesized that this unconscious predilection to discriminate is a cause of racial disparities: “It is reasonable to conclude not only that implicit bias is a cause of Black disadvantage but also that it plausibly plays a greater role than does explicit bias in explaining the discrimination that contributes to Black disadvantage.”
The implicit-bias conceit spread like wildfire. President Barack Obama denounced “unconscious” biases against minorities and females in science in 2016. NBC anchor Lester Holt asked Hillary Clinton during a September 2016 presidential debate whether “police are implicitly biased against black people.” Clinton answered: “Lester, I think implicit bias is a problem for everyone, not just police.” Then–FBI director James Comey claimed in a 2015 speech that “much research” points to the “widespread existence of unconscious bias.” “Many people in our white-majority culture,” Comey said, “react differently to a white face than a black face.” The Obama Justice Department packed off all federal law-enforcement agents to implicit-bias training. Clinton promised to help fund it for local police departments, many of which had already begun the training following the 2014 fatal police shooting of Michael Brown in Ferguson, Missouri.