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DJ Patil

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2016-11-07
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2016-11-07
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  1. No, I think you know it if you talk to enough people. If you talk to enough people and you spend time talking to people, it's very obvious because people are like, go work that person or other.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  2. Entrepreneur, it's the same thing. Make sure to be around the greatest people. Often people tell me to say people talk about the stock options and all that stuff. What would you have paid to be part of the original PayPal Mafia crew? What would you have paid to be part of that core team that was building out LinkedIn or pick your favorite company wherever? Because how much would you learn How much would that make you a better person? And so focus less on the bottom line and focus more, don't say ignore the bottom line, but focus on what you can do. And is that the team that is going to allow you to actually do remarkable things?

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  3. The one for this government role is I have deep regret for how long it took me to say yes. When the offensor is obvious and everybody else is telling you yes, it's super easy to doubt yourselves and not see the quality of people that you're going to spend time with. And when you have a chance to work with people who are going to make you better than yourself, you should just sign up.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  4. And it could be in all different levels. And I think we start doing that and we make it more porous where people are coming in and out. We don't call that a revolving door. We call that an expectation to serve.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  5. It's supposed to work, and that's why I think we have to move to a model where we see it as not a question of did you serve, but when did you serve

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  6. Does it make sense? Like, we often buy software, like it's an aircraft carrier We don't buy it in the sense that we know that we're going to learn as we iterate and build. Those advances work best when we're sitting side by side. Like when I have had those conversations as we've been building up the ideas of precision medicine and now it's starting to move to the actual build. No one's saying that's stupid. People are saying, tell me more. What did you learn

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  7. It's salad in San Diego versus we have natural A-B tests and we have to learn from the different ones to figure out what each other can do. And pushing that agility in also as we buy systems so we're not buying something that is

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  8. Exactly. You can't just, but what we have to do simultaneously is how do we take some of the best skills that we have learned? Like AB testing, and say, okay, if we're trying to make sure that people get access to food, because they're a kid and is a foster kid, how do we make that system work efficiently? Well, we do have an A-B test. It's Dallas versus Austin.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  9. And you have to realize that when the President's chief of staff says, remember, this is the meeting, there is no other meeting, that you sit in that chair with the responsibility of stewarding the whole entire history and responsibility for what this is for as a country. That is a very, very different perspective than saying, well, let's just A-B test it. Right.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  10. So exactly. That's right. These problems, you know, this isn't just like, let's sketch it out on the whiteboard or do it on the back of the napkin. Well, we're having Cuevas Rancheros. It's not that this is like, you have to be in the situation room.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  11. To my original question, do we have people coming in, either one, that understands these massive issues that are about to roll through society around self-driving cars, around privacy, around encryption, around... Do not photo apps. So exactly. Not deciding if Snapchat

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  12. I think we're going to see all these things, it's going to be radically different within five years in a way that we just didn't even expect.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  13. It's a whole nother war. It's a whole nother one, right? We have to think about. And, you know, we're even seeing at the local level very tough conversations about Self driving cars, the ride sharing, the whole gig economy. Exactly. Exactly. All of those things.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  14. Private conversation. And what happens, you know, that's just conversation. What happens when it's your health data? What's your recourse? All of those things are things that must have resolution or major progress, like if not resolution, major progress forward in society. There's no way out of that. Autonomous vehicles is just one small portion of it. Right.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  15. Pretty much, and it's, what are your rights when somebody has all your email and what that, you know, the private conversations, how do we think about that?

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  16. By the time it gets there, there is no good solution. The way I have found, and I have gotten over my own personal arrogance in these problems, is literally by getting in there and being part of the conversation. And I see the complexity and the challenges that we face. You know, that's even true on encryption, like where there are very serious national security issues. There are also very, very serious and relevant.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  17. Yeah, and his specific is that way of saying those edge cases have names. And the problems that get to the president's desk and his time, there's no good solution.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  18. How do you, when you're looking at it from both sides, you've been in that world and you also haven't and have to take it from the other side. How do you reconcile that? Because I think the president is 100% right about that.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  19. In some fashion. So now you should not pull away from it. I want to end up talking about something that President Obama said, and he's done a lot of different initiatives, the AI initiative, all kinds of things that have been happening. He was talking about the difficulty has dealing with techies. Now, you're coming back here. And as much as he appreciates them, and that's clear, there's all kinds of problems. Encryption is one which you were not involved with, but that's a big issue going to keep going, the sort of tension between them. The other is privacy. The other is monopoly power. There's all kinds of things that you can see clashes coming on the horizon. But one of the things he did talk about was the arrogance factor and that techies come in and tell them how to fix things. And I think basically if you wanted to boil it down, and I completely agree with him, is there's no app for Syria. The government isn't here to solve the problems they solve are intractable and not solvable in a way, a tech mentality does. But tech people continue to come in and lecture.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  20. Whoever is in the office, whatever your political views are, whichever way they go, I think there's always an opportunity to serve when the call in some fashion.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  21. A long time, they've been saying, Where have you guys been? And, like, why haven't you unleashed us to let us do this? And so now that they've been unleashed and they have The runway and the mandate, they are going to maximize that opportunity. What I think we need to do in Silicon Valley to make sure this continues is if we just say, ah, okay, we tried. And disengage.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  22. Well, I can't comment on any of the elections because we have the Hatch Act, obviously. But the part there that is that we believe is the case is, and here's the thing that I found in every case of working with an agency, is the agencies have and the career staff have wanted to do this.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  23. So, our programs graduate and they go into different places, and many of them have already continued to be there as things that they're going to happen. And so we look at it as a measure of these things have to, in the John Lilly way of framing these things and others, is like, you know, we have to fire ourselves out of jobs.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  24. All over there. There's people, but there's also these programs. So, for example, the police data initiative has really been developed jointly with the Department of Justice in what's called in the cops office, which is cooperative policing unit. And that's where it lives. And that's who basically runs it. Precision medicine is run by the National Institutes for Health. It's being run by Eric Dishman, who is not only a person that got this type of personalized treatment to save his life and even received an organ as a result, but is deep technologist who's been. And he's going to stay. He's a director. This is a career person and who is not just a real solid hitter on every dimension. And he's going to run that with a great team that is being built out of National Institute for Health.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  25. And you can actually plan and game out what you can and can't accomplish and be hyper effective. Days are just a way of getting yourself freaked out. But weeks is a shipping schedule. So we have very clear milestones.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  26. Our focus right now is to maximize the opportunity we have and make the best case. We have 10 weeks left. I don't go by days. The reason I don't go by days is if you measure things in week, you can run a two minute drill

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  27. What do you want to do? What would you do then? And I want to know what will happen to all these Obama administration initiatives because, you know, one of the things that we're looking at in this election besides it's incredible just the horror of it, a fresh horror every day, is the idea that neither of these candidates are tech forward, one less so than the other. Trump for sure, he's back in the 70s, and I don't think Secretary Clinton is very far along. Not where Obama is for sure

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  28. I think we have an opportunity to tackle some of our hardest problems. I love the fact that there's increasing number of people who are going into prisons, and David Hornick is one of those people who's really kind of championed saying, like, what can we do there? Or people who are started saying, like, what can we do about the homeless population? And how do we think about that not just as a narrow niche?

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  29. Exactly. Right. It's not just Pokemon walking around and just those types of things. It's not to hit on Pokemon Go. In fact, one of the most popular places to play it is the White House, but it's...

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  30. One is our kids go to a school where they don't interact with a broad ethnicity. Is they don't interact with society where the people that support our services and our most critical infrastructure, including those that serve, and whether it's police, firemen. Fire people, Air Force, Marines, pick your favorite. They don't meet those people. They don't interact with them. And one of the most powerful things that I've taken away this year is watching my kids experience that and see that their world has shifted. And that is seeing that world and how far we are from it.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  31. I will. And the specific reason I will be is my kids are here and my wife wants to be here. But I'll tell you, like, one of the things that's a challenge is I have two tough things for me as a parent.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  32. And you've written and talked about this. And I see like when we evaluate a problem. It is so unbelievably liberating when you're around a team and somebody's like, have you thought about it this way? Did you know about this? And you're like, no. And no one's hating you for having that blind spot. But people are using it as an opportunity to tell you about a different group that you haven't been able to interact with

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  33. You know, cancer research and other type of areas. And I think there's a different focus that if people have kind of started to wake up and say, ah, there's more out there. To really get there, I think we also need our venture capital community to also reflect those values and that diversity.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  34. I wish people would go out and hang out in the middle of Iowa I wish they would go out to Texas. I wish they would go out to New Orleans. I wish they would go out to North Dakota and see what people need. I think you would see that there's a very different world out there when we say, oh, that's just an edge case. Those aren't edge cases. Those are huge populations, and they have names. And when you put the names against them and you start actually talking to them, you see a different world problem. I find it really interesting that if you look at many of the people who were that so-called data wave, we were first national security people. Then we were social network kind of people. Now, a lot of those people are all in some form of healthcare.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  35. I do too, as you know. Well, I have two reactions. The first is I wish people would get out and see more of the country. You know, we talk about user research, but our user researchers usually go hang out the corner coffee shop and talk to a few people.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  36. Well, I do too. As you know, I said it a hundred times. We have a show on diversity this week that we just pulled out all the thoughts that people we've talked to around diversity. And why, you know, here you are trying to build something for the US government that has a diverse mentality, a diverse point of view. And I'm not just talking about race and gender. But disability, all kinds of experience, economic level. What happens here in Silicon Valley when you come back here? What is your assessment

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  37. Diversity of teams and all of this, one of the fascinating things is there's a picture. There's pumps. There's all shoes of all types. You can tell the color of the feet, all type of ethnicities. That's how we get to a better decisions. It's like when we have the diversity

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  38. How do we think about that? How do we make sure that that has happened? That's why it's been so important that anybody who's out there and anyone who's listening to this, you're a data scientist and you do not have training on ethics, you better go get some. If you're in a data science training program and they're not teaching you about ethics, you are not in the program that is the cutting edge.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  39. Tell me. Well, one of the things that we're very concerned about is the intersection of big data and civil rights. Right. So, and we released two reports on this on not only privacy, but Data and algorithms, and what happens when people don't have transparency algorithms or there's, you know, people do even nefarious things with data. We've seen recent examples of this with when you go in front of a judge, people are using data, you don't know where that data comes from, how it's being used to make an assessment about the type of bail you should get. It's been shown that some of these are what you might deem as racist. And how do we make sure that somebody's not just slapping a label on something that says big data solution or data science solution? And people go, ooh, that's good. We have to think through those things. If people think often, oh, that's just in these kind of net small areas, there's all sorts of cases, and we've seen this on image search or the fact that even Pokemon Go or other places of e-commerce sites, they haven't supported certain environments because there's a lack of data.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  40. And so that's the part that's particularly exciting. That's why the data-driven justice initiative, when we just move some data a little bit, we can see large-scale transformation of society.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  41. So these financial incentives for many people. But that's typically that's prisons. That's the private prison. This is local jail. So these people never even get to the prison side of this problem. And they actually never were going to get to the prison. These are people who are just psychosis.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  42. Have you seen so and so? No, go fish. Like, it's like past the spreadsheet. And the cost savings are unbelievable. Miami-Dade, Florida did this. They trained their officers in crisis intervention to get them into the right type of mental health thing. Year one, they saved more than $10 million, but more importantly, they closed a full jail.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  43. That cost structure is one of our most expensive cost structures. Cook County Jail, which is one of our largest single institution jails in the United States, one-third of the population is mentally ill. Why are they sitting in jail? We should get them to the treatment they want. So what we did is we said. They need that treatment. And we also have opioid issues, all these things. So we need to get people to the care they need rather than forcing people to languish in jail. Right. What we have found is that if you take your data from your department of corrections, policing, that whole infrastructure, criminal justice, and move it over to the health side, you can very quickly identify who are the people that you see most often and need help. And we're not talking like crazy big data. We're talking like.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  44. We're going to get back to talk about where things are going. Sure. So the data driven justice, and that covers now 91 million Americans has 130 plus now, I think this keeps going up. Cities that have joined in. And what it does is it says, are criminal justice system right now is causing in a ridiculous drain on society. And we all know this, but just as a kind of quick numbers, we have 11.4 million people that are going through 3,100 jails every year. So that numbers just don't make sense. And we're not talking prison. Actually, 90 plus percent will never go on to prison. And they on average stay there 23 days. So we have created a cycle where we just cycle people through our local jails.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  45. Exactly And that's what we're seeing. That's like this case where people are using this machine learning, these things, we have to unleash the potential of people doing smart things.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  46. So it depends on the city, but by and large we have found an unbelievable, these 129 cities has stepped up for police data initiative. They're some of the biggest. They're like, you know, LAPD and Oakland, and they want to do this. I'll tell you one of the troubling things that we all have to watch for. There's increased legislation at the state level that is coming in to say very classically like this is our transparency measure, but they aren't. They actually prevent people from accessing the data. And we have to really look closely at what those are those in the police officer's best interests Are they truly in the citizens' best interest or are they just in sort of some de facto somebody riding that rule that just prevents anybody from really doing anything useful for finding a solution? Right. And that's the place that we really need to work on. Because otherwise we don't know. And I have no idea if what you see from Oakland with the words that they use is different from what we see in LA or even San Jose.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  47. So, one of the things I just was recently at an event in Oakland, and they were talking about in Oakland, they're doing voice recognition, putting everyone's focus on the data cameras on people, which have yielded very emotional things and a lot of proof of real violence, although it only tells part of the story, like you said. You don't know what happened before that and before that. And one of the things that was interesting is how they could tell who the police officer was talking to, their race, by the language, by word clouds with African-American people. They would say, hey, and man with white people, they'd say, sir, and hello, which are kinder words, which are obviously more respectful words. And it was really interesting to see it. And they're trying to figure out what they can do from that. Although you think they would.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  48. Highly emotionally charged. Why are we sending just two officers? Send more officers because that's going to stabilize the situation. So they're now taking this test and iterate model and measure more effectively to do this. So that's one side.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  49. So that is now being put into place. They're also realized that gee, domestic violence where child is present, fights break out a lot.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT

  50. Upset. So imagine you go to one of the things. Suicide is exceptionally messy. It's very horrible situation emotionally, physically. And suddenly you're done. You've written up the case and somebody says, get out there and you're back on beat patrol. And then somebody's flip it with you Where did the system fail? The dispatch system doesn't take this data into account to say like this guy. Let's give this officer, yeah, like give the officer time to decompress. Let's treat them as a human rather than a robot.

    2016-11-07 · Decoder with Nilay Patel · Recode Decode: U.S. Chief Data Scientist DJ Patil · IDENTIFIED FROM THE TRANSCRIPT