WEBVTT 99:59:59.999 --> 99:59:59.999 Some years ago, 99:59:59.999 --> 99:59:59.999 I was on an airplane with my son who was just five years old at the time. 99:59:59.999 --> 99:59:59.999 My son was so excited about being on this airplane with mommy. 99:59:59.999 --> 99:59:59.999 He's looking all around and he's checking things out 99:59:59.999 --> 99:59:59.999 and he's checking people out, 99:59:59.999 --> 99:59:59.999 and he sees this man, and he says, "Hey, 99:59:59.999 --> 99:59:59.999 that guy looks like Daddy." 99:59:59.999 --> 99:59:59.999 And I look at the man, 99:59:59.999 --> 99:59:59.999 and he didn't look anything at all like my husband, 99:59:59.999 --> 99:59:59.999 nothing at all. 99:59:59.999 --> 99:59:59.999 And so then I start looking around on the plane, 99:59:59.999 --> 99:59:59.999 and I notice this man 99:59:59.999 --> 99:59:59.999 was the only black guy on the plane. 99:59:59.999 --> 99:59:59.999 And I thought, 99:59:59.999 --> 99:59:59.999 all right. 99:59:59.999 --> 99:59:59.999 I'm going to have to have a little talk with my son 99:59:59.999 --> 99:59:59.999 about how not all black people look alike. 99:59:59.999 --> 99:59:59.999 My son, he lifts his head up, and he says to me, 99:59:59.999 --> 99:59:59.999 "I hope he doesn't rob the plane." 99:59:59.999 --> 99:59:59.999 And I said, "What? What did you say?" 99:59:59.999 --> 99:59:59.999 And he says, "Well, I hope that man doesn't rob the plane." 99:59:59.999 --> 99:59:59.999 And I said, "Well, why would you say that? 99:59:59.999 --> 99:59:59.999 You know Daddy wouldn't rob a plane." 99:59:59.999 --> 99:59:59.999 And he says, "Yeah, yeah, yeah, well, I know." 99:59:59.999 --> 99:59:59.999 And I said, "Well, why would you say that?" 99:59:59.999 --> 99:59:59.999 And he looked at me with this really sad face, 99:59:59.999 --> 99:59:59.999 and he says, 99:59:59.999 --> 99:59:59.999 "I don't know why I said that. 99:59:59.999 --> 99:59:59.999 I don't know why I was thinking that." 99:59:59.999 --> 99:59:59.999 We are living with such severe racial stratification 99:59:59.999 --> 99:59:59.999 that even a five-year old 99:59:59.999 --> 99:59:59.999 can tell us what's supposed to happen next, 99:59:59.999 --> 99:59:59.999 even with no evildoer, 99:59:59.999 --> 99:59:59.999 even with no explicit hatred. 99:59:59.999 --> 99:59:59.999 This association between blackness and crime 99:59:59.999 --> 99:59:59.999 made its way into the mind of my five-year old. 99:59:59.999 --> 99:59:59.999 It makes its way into all of our children, 99:59:59.999 --> 99:59:59.999 into all of us. 99:59:59.999 --> 99:59:59.999 Our minds are shaped by the racial disparities 99:59:59.999 --> 99:59:59.999 we see out in the world, 99:59:59.999 --> 99:59:59.999 and the narratives that help us to make sense of the disparities we see. 99:59:59.999 --> 99:59:59.999 Those people are criminals. 99:59:59.999 --> 99:59:59.999 Those people are violent. 99:59:59.999 --> 99:59:59.999 Those people are to be feared. 99:59:59.999 --> 99:59:59.999 When my research team brought people into our lab 99:59:59.999 --> 99:59:59.999 and exposed them to faces, 99:59:59.999 --> 99:59:59.999 we found that exposure to black faces 99:59:59.999 --> 99:59:59.999 led them to see blurry images of guns with greater clarity and speed. 99:59:59.999 --> 99:59:59.999 Bias cannot only control what we see, 99:59:59.999 --> 99:59:59.999 but where we look. 99:59:59.999 --> 99:59:59.999 We found that prompting people to think of violent crime 99:59:59.999 --> 99:59:59.999 can lead them to direct their eyes onto a black face 99:59:59.999 --> 99:59:59.999 and away from a white face. 99:59:59.999 --> 99:59:59.999 Prompting police officers to think of capturing and shooting 99:59:59.999 --> 99:59:59.999 and arresting 99:59:59.999 --> 99:59:59.999 leads their eyes to settle on black faces too. 99:59:59.999 --> 99:59:59.999 Bias can infect every aspect of our criminal justice system. 99:59:59.999 --> 99:59:59.999 In a large dataset of death-eligible defendants, 99:59:59.999 --> 99:59:59.999 we found that looking more black 99:59:59.999 --> 99:59:59.999 more than doubled their chances of receiving a death sentence, 99:59:59.999 --> 99:59:59.999 at least when their victims were white. 99:59:59.999 --> 99:59:59.999 This effect is significant even though we controlled 99:59:59.999 --> 99:59:59.999 for the severity of the crime 99:59:59.999 --> 99:59:59.999 and the defendant's attractiveness, 99:59:59.999 --> 99:59:59.999 and no matter what we controlled for, 99:59:59.999 --> 99:59:59.999 we found that black people 99:59:59.999 --> 99:59:59.999 were punished in proportion 99:59:59.999 --> 99:59:59.999 to the blackness of their physical features: 99:59:59.999 --> 99:59:59.999 the more black, 99:59:59.999 --> 99:59:59.999 the more death-worthy. 99:59:59.999 --> 99:59:59.999 Bias can also influence how teachers discipline students. 99:59:59.999 --> 99:59:59.999 My colleagues and I 99:59:59.999 --> 99:59:59.999 have found that teachers express a desire 99:59:59.999 --> 99:59:59.999 to discipline a black middle school student 99:59:59.999 --> 99:59:59.999 more harshly than a white student for the same repeated infractions. 99:59:59.999 --> 99:59:59.999 In a recent study, 99:59:59.999 --> 99:59:59.999 we're finding that teachers treat black students as a group 99:59:59.999 --> 99:59:59.999 but white students as individuals. 99:59:59.999 --> 99:59:59.999 If, for example, one black student misbehaves 99:59:59.999 --> 99:59:59.999 and then a different black student misbehaves a few days later, 99:59:59.999 --> 99:59:59.999 the teacher responds to that second black student 99:59:59.999 --> 99:59:59.999 as if he had misbehaved twice. 99:59:59.999 --> 99:59:59.999 It's as though the sins of one child 99:59:59.999 --> 99:59:59.999 get piled on to the other. 99:59:59.999 --> 99:59:59.999 We create categories to make sense of the world, 99:59:59.999 --> 99:59:59.999 to assert some control and coherence 99:59:59.999 --> 99:59:59.999 to the stimuli that we're constantly being bombarded with. 99:59:59.999 --> 99:59:59.999 Categorization and the bias that it seeds 99:59:59.999 --> 99:59:59.999 allow our brains to make judgments 99:59:59.999 --> 99:59:59.999 more quickly and efficiently, 99:59:59.999 --> 99:59:59.999 and we do this by instinctively relying on patterns 99:59:59.999 --> 99:59:59.999 that seem predictable. 99:59:59.999 --> 99:59:59.999 Yet just as the categories we create 99:59:59.999 --> 99:59:59.999 allow us to make quick decisions, 99:59:59.999 --> 99:59:59.999 they also reinforce bias. 99:59:59.999 --> 99:59:59.999 So the very things that help us to see the world 99:59:59.999 --> 99:59:59.999 also can blind us to it. 99:59:59.999 --> 99:59:59.999 They render our choices effortless, 99:59:59.999 --> 99:59:59.999 friction-free. 99:59:59.999 --> 99:59:59.999 Yet the exact a heavy toll. NOTE Paragraph 99:59:59.999 --> 99:59:59.999 So what can we do? 99:59:59.999 --> 99:59:59.999 We are all vulnerable to bias, 99:59:59.999 --> 99:59:59.999 but we don't act on bias all the time. 99:59:59.999 --> 99:59:59.999 There are certain conditions that can bring bias alive 99:59:59.999 --> 99:59:59.999 and other conditions that can muffle it. NOTE Paragraph 99:59:59.999 --> 99:59:59.999 Let me give you an example. 99:59:59.999 --> 99:59:59.999 Many people are familiar with the tech company Nextdoor. 99:59:59.999 --> 99:59:59.999 So their whole purpose is to create stronger, healthier, safer neighborhoods. 99:59:59.999 --> 99:59:59.999 And so they offer this online space 99:59:59.999 --> 99:59:59.999 where neighbors can gather and share information. 99:59:59.999 --> 99:59:59.999 Yet Nextdoor soon found that they had a problem 99:59:59.999 --> 99:59:59.999 with racial profiling. 99:59:59.999 --> 99:59:59.999 In the typical case, 99:59:59.999 --> 99:59:59.999 people would look outside their window 99:59:59.999 --> 99:59:59.999 and see a black man in their otherwise white neighborhood 99:59:59.999 --> 99:59:59.999 and make the snap judgment 99:59:59.999 --> 99:59:59.999 that he was up to no good, 99:59:59.999 --> 99:59:59.999 even when there was no evidence of criminal wrongdoing. 99:59:59.999 --> 99:59:59.999 In many ways, how we behave online 99:59:59.999 --> 99:59:59.999 is a reflection of how we behave in the world. 99:59:59.999 --> 99:59:59.999 But what we don't want to do is create an easy-to-use system 99:59:59.999 --> 99:59:59.999 that can amplify bias 99:59:59.999 --> 99:59:59.999 and deepen racial disparities, 99:59:59.999 --> 99:59:59.999 rather than dismantling them. 99:59:59.999 --> 99:59:59.999 So the co-founder of Nextdoor reached out to me and to others 99:59:59.999 --> 99:59:59.999 to try to figure out what to do, 99:59:59.999 --> 99:59:59.999 and they realized that to curb racial profiling on the platform, 99:59:59.999 --> 99:59:59.999 they were going to have to add friction. 99:59:59.999 --> 99:59:59.999 That is, they were going to have to slow people done. 99:59:59.999 --> 99:59:59.999 So Nextdoor had a choice to make, 99:59:59.999 --> 99:59:59.999 and against every impulse 99:59:59.999 --> 99:59:59.999 they decided to add friction. 99:59:59.999 --> 99:59:59.999 And they did this by adding a simple checklist. 99:59:59.999 --> 99:59:59.999 There were three items on it. 99:59:59.999 --> 99:59:59.999 First, they asked users to pause 99:59:59.999 --> 99:59:59.999 and think, what was this person doing 99:59:59.999 --> 99:59:59.999 that made him suspicious? 99:59:59.999 --> 99:59:59.999 The category "black man" is not ground for suspicion. 99:59:59.999 --> 99:59:59.999 Second, they asked users to describe the person's physical features, 99:59:59.999 --> 99:59:59.999 not simply their race and gender. 99:59:59.999 --> 99:59:59.999 Third, they realized that a lot of people 99:59:59.999 --> 99:59:59.999 didn't seem to know what racial profiling was, 99:59:59.999 --> 99:59:59.999 nor that they were engaging in it. 99:59:59.999 --> 99:59:59.999 So Nextdoor provided them with a definition 99:59:59.999 --> 99:59:59.999 and told them that it was strictly prohibited. 99:59:59.999 --> 99:59:59.999 Most of you have seen those signs in airports 99:59:59.999 --> 99:59:59.999 and Metro stations, "If you see something, say something." 99:59:59.999 --> 99:59:59.999 Nextdoor tried modifying this. 99:59:59.999 --> 99:59:59.999 "If you see something suspicious, say something specific." 99:59:59.999 --> 99:59:59.999 And using this strategy 99:59:59.999 --> 99:59:59.999 by simply slowing people down, 99:59:59.999 --> 99:59:59.999 Nextdoor was able to curb racial profiling by 75 percent. 99:59:59.999 --> 99:59:59.999 Now, people often will say to me, 99:59:59.999 --> 99:59:59.999 you can't add friction in every situation, in every context, 99:59:59.999 --> 99:59:59.999 and especially for people who make split second decisions all the time, 99:59:59.999 --> 99:59:59.999 but it turns out we can add frictions 99:59:59.999 --> 99:59:59.999 to more situations than we think. 99:59:59.999 --> 99:59:59.999 Working with the Oakland Police Department 99:59:59.999 --> 99:59:59.999 in California, 99:59:59.999 --> 99:59:59.999 I and a number of my colleagues were able to help the Department 99:59:59.999 --> 99:59:59.999 to reduce the number of stops they made 99:59:59.999 --> 99:59:59.999 of people who were not committing any serious crimes, 99:59:59.999 --> 99:59:59.999 and we did this by pushing officers 99:59:59.999 --> 99:59:59.999 to ask themselves a question 99:59:59.999 --> 99:59:59.999 before each and every stop they made: 99:59:59.999 --> 99:59:59.999 is this stop intelligence-led, 99:59:59.999 --> 99:59:59.999 yes or no? 99:59:59.999 --> 99:59:59.999 In other words, 99:59:59.999 --> 99:59:59.999 do I have prior information to tie this particular person 99:59:59.999 --> 99:59:59.999 to a specific crime? 99:59:59.999 --> 99:59:59.999 By adding that question 99:59:59.999 --> 99:59:59.999 to the form officer's complete doing the stop, 99:59:59.999 --> 99:59:59.999 they slow down, they pause, 99:59:59.999 --> 99:59:59.999 they think, why am I considering pulling this person over? 99:59:59.999 --> 99:59:59.999 In 2017, before we added that intelligence-led question to the form, 99:59:59.999 --> 99:59:59.999 officers made about 32,000 stops across the city. 99:59:59.999 --> 99:59:59.999 In that next year, 99:59:59.999 --> 99:59:59.999 with the addition of this question, 99:59:59.999 --> 99:59:59.999 that fell to 19,000 stops. 99:59:59.999 --> 99:59:59.999 African-American stops alone fell by 43 percent. 99:59:59.999 --> 99:59:59.999 And stopping fewer black people did not make the city any more dangerous. 99:59:59.999 --> 99:59:59.999 In fact, the crime rate continued to fall 99:59:59.999 --> 99:59:59.999 and the city became safer for everybody. NOTE Paragraph 99:59:59.999 --> 99:59:59.999 So one solution can come from reducing the number of unnecessary stops. 99:59:59.999 --> 99:59:59.999 Another can come from improving the quality of the stops 99:59:59.999 --> 99:59:59.999 officers do make. 99:59:59.999 --> 99:59:59.999 And technology can help us here. 99:59:59.999 --> 99:59:59.999 We all know about George Floyd's death 99:59:59.999 --> 99:59:59.999 because those who tried to come to his aid 99:59:59.999 --> 99:59:59.999 held cell phone cameras to record that horrific, fatal encounter 99:59:59.999 --> 99:59:59.999 with the police. 99:59:59.999 --> 99:59:59.999 But we have all sorts of technology 99:59:59.999 --> 99:59:59.999 that we're not putting to good use. 99:59:59.999 --> 99:59:59.999 Police departments across the country 99:59:59.999 --> 99:59:59.999 are now required to wear body-worn cameras, 99:59:59.999 --> 99:59:59.999 so we have recordings of not only the most extreme and horrific encounters 99:59:59.999 --> 99:59:59.999 but of everyday interactions. 99:59:59.999 --> 99:59:59.999 With an interdisciplinary team at Stanford, 99:59:59.999 --> 99:59:59.999 we've begun to use machine learning techniques 99:59:59.999 --> 99:59:59.999 to analyze large numbers of encounters. 99:59:59.999 --> 99:59:59.999 This is to better understand what happens in routine traffic stops. 99:59:59.999 --> 99:59:59.999 What we found was that even when police officers 99:59:59.999 --> 99:59:59.999 are behaving professionally, 99:59:59.999 --> 99:59:59.999 they speak to black drivers less respectfully than white drivers. 99:59:59.999 --> 99:59:59.999 In fact, from the words officers use alone 99:59:59.999 --> 99:59:59.999 we could predict whether they were talking to a black driver or a white driver. 99:59:59.999 --> 99:59:59.999 The problem is that the vast majority of the footage from these cameras 99:59:59.999 --> 99:59:59.999 is not used by police departments 99:59:59.999 --> 99:59:59.999 to understand what's going on on the street 99:59:59.999 --> 99:59:59.999 or to train officers. 99:59:59.999 --> 99:59:59.999 And that's a shame. 99:59:59.999 --> 99:59:59.999 How does a routine stop 99:59:59.999 --> 99:59:59.999 turn into a deadly encounter? 99:59:59.999 --> 99:59:59.999 How did this happen in George Floyd's case? 99:59:59.999 --> 99:59:59.999 How did it happen in others? 99:59:59.999 --> 99:59:59.999 When my eldest son was 16 years old, 99:59:59.999 --> 99:59:59.999 he discovered that when white people look at him, 99:59:59.999 --> 99:59:59.999 they feel fear. 99:59:59.999 --> 99:59:59.999 Elevators are the worst, he said. 99:59:59.999 --> 99:59:59.999 When those doors close, 99:59:59.999 --> 99:59:59.999 people are trapped in this tiny space 99:59:59.999 --> 99:59:59.999 with someone they have been taught 99:59:59.999 --> 99:59:59.999 to associate with danger. 99:59:59.999 --> 99:59:59.999 My son senses their discomfort, 99:59:59.999 --> 99:59:59.999 and he smiles to put them at ease, 99:59:59.999 --> 99:59:59.999 to calm their fears. 99:59:59.999 --> 99:59:59.999 When he speaks, 99:59:59.999 --> 99:59:59.999 their bodies relax. 99:59:59.999 --> 99:59:59.999 They breathe easier. 99:59:59.999 --> 99:59:59.999 They take pleasure in his cadence, 99:59:59.999 --> 99:59:59.999 his diction, his word choice. 99:59:59.999 --> 99:59:59.999 He sounds like one of them. 99:59:59.999 --> 99:59:59.999 I used to think that my son was a natural extrovert like his father, 99:59:59.999 --> 99:59:59.999 but I realized at that moment in that conversation 99:59:59.999 --> 99:59:59.999 that his smile was not a sign 99:59:59.999 --> 99:59:59.999 that he wanted to connect with would-be strangers. 99:59:59.999 --> 99:59:59.999 It was a talisman he's used to protect himself, 99:59:59.999 --> 99:59:59.999 a survival skill he had honed over thousands of elevator rides. 99:59:59.999 --> 99:59:59.999 He was learning to accommodate the tension 99:59:59.999 --> 99:59:59.999 that his skin color generated 99:59:59.999 --> 99:59:59.999 and that put his own life at risk. 99:59:59.999 --> 99:59:59.999 We know that the brain is wired for bias, 99:59:59.999 --> 99:59:59.999 and one way to interrupt that bias 99:59:59.999 --> 99:59:59.999 is to pause and to reflect on the evidence of our assumptions, 99:59:59.999 --> 99:59:59.999 so we need to ask ourselves 99:59:59.999 --> 99:59:59.999 what assumptions do we bring 99:59:59.999 --> 99:59:59.999 when we step onto an elevator? 99:59:59.999 --> 99:59:59.999 Or an airplane? 99:59:59.999 --> 99:59:59.999 How do we make ourselves aware of our own unconscious bias? 99:59:59.999 --> 99:59:59.999 Who do those assumptions keep safe? 99:59:59.999 --> 99:59:59.999 Who do they put at risk? 99:59:59.999 --> 99:59:59.999 Until we ask these questions, 99:59:59.999 --> 99:59:59.999 and insist that our schools and our courts and our police departments 99:59:59.999 --> 99:59:59.999 and every institution do the same, 99:59:59.999 --> 99:59:59.999 we will continue to allow bias 99:59:59.999 --> 99:59:59.999 to blind us, 99:59:59.999 --> 99:59:59.999 and if we do, 99:59:59.999 --> 99:59:59.999 none of us are truly safe. 99:59:59.999 --> 99:59:59.999 Thank you.