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Noble Ray, welcome to InFocus.

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Thank you very much.

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Glad to be here.

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I got to tell you, you and I have

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not seen each other since we did the

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Wisconsin in Black and White

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Project. Thank you for your service

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on that.

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No, thank you.

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It was really good.

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Yeah, and for a lot of folks that

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don't know, you're a former police

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chief, you've been in law

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enforcement for?

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Um, now 40 years.

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40 years, wow.

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And give me a little snapshot of

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what made you go into law

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enforcement. What was it about law

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enforcement that made you say, I'd

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like to commit my life to that?

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Well, I originally started

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off into looking

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at being an attorney going into

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politics, but...

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That was too much work, huh?

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There's too much work

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and you know at UW-Milwaukee

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where I was going they had a really

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good criminal justice program and

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I just got really into

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you know protection, justice

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and understanding what those things

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meant and just connected with

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it.

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And so you knew you wanted to

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climb that ladder to get to the

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chief mode of things, or?

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About two years in, after being a

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police officer, said, if I leave

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this profession, I want to leave it

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at a minimum as a mid-manager.

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And that, in most departments, is a

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lieutenant or above.

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Yeah.

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I love asking people things like if

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you had a mission statement for the

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kind of work and the kind philosophy

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you carry with yourself as you do

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your profession, what would that for

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you, you think.

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My mission statement would

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be that we

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are here, here for people,

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and criminal justice and humanity

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are one and the same, and how do we

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make that work?

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And you've been retired now for how

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long?

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I've been retired now for about 12,

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13 years.

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I get the impression you worked just

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as much as you did when you were

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working.

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Why do you stay involved?

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I stay involved because it's

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part of my belief system.

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I still believe that I can have an

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impact on helping people

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see what police officers

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see. I had a unique perspective,

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not only unique perspective as a

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police officer, but a unique

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respective as an African-American

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male.

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And also I've been very close to the

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community. So bridging those two has

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been really.

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Really important in my life to

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ensure this continues.

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And one of the reasons I think you

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and I are sitting here now is

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because I bumped into you a few

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weeks ago when they opened up

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the center.

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The center.

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Just to give some context, we're at

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the Black Business Hub

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here on the Madison South Side

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and I know you've probably done

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all kinds of things in this

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building.

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Absolutely, on the board,

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also as

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another member of another board, the

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Rennebaum Foundation, we gave funds

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for this building.

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So this is important.

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I also worked as head

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of the Urban League,

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as interim CEO and vice president.

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You don't sound retired to me, man.

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No, no.

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But one of the things that we were

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talking, you were telling me about

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you have a fellowship with the

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Fellowship of Law Enforcement

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People, and

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I found it really interesting when

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you talked a little bit about kind

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of what you guys do and what the

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mission of that organization is.

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Why don't you tell us a little about

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that?

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Yeah, there's a fellowship

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that started two years ago, and it

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involved retired

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law enforcement executives, as

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well as people from the university

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community, as well current

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law enforcement professionals.

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And what we wanted to do

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was to look ahead,

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see what policing was going to

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be in 2030 and

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2050, because there are a number of

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changes taking place.

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One of the areas that we started to

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focus in on, was the area of

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technology, given that it has had

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such a major impact in our

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lives in so many different ways,

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but specifically in law enforcement.

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So when we say technology, are we

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speaking specifically to like AI

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technology?

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AI technology, it is

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impacting every aspect

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of policing, everything down

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to how police reports are

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done, how surveillance

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is done, things

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like body-worn cameras,

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facial recognition,

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to something as simple

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as, if you've got this information,

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how do you go to court?

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How do you explain this information

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in court?

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Do you have the subject matter

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experts? Where do you store it?

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Who has access to it.

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So this is kind of

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a quiet revolution that

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we feel that needs to be

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discussed more to make sure that

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the laws and justice are keeping

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up with the technology.

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And mission-wise, what would you say

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the mission?

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Here is, is it just simply to

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educate people?

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Our mission is to

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stimulate or be the catalyst for

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communities, both

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state, federal and local, to start

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thinking about this in a

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way where they can kind of shape

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how balancing

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on one side public

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safety and on the other side

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privacy.

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Because there's some major privacy

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concerns, major justice

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concerns. So the so our

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mission was to give guidance,

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start the conversation on guidance.

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What does it look like when you have

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technology in maintaining

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trust with the community?

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What does is look like when

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you, you

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have a license plate readers,

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for example, and

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do you use that

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technology for everyone?

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Do you use it on certain people?

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Do you predict through analysis

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and data where that's gonna go?

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Because there's always an impact.

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To any time we do something.

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And we also wanted to highlight the

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fact that even though a

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lot of this technology is not only

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being used in policing,

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but any time the government,

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any time that government uses this

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type of information, there are

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constitutional principles that must

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be upheld.

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One of which that we'll probably

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talk about more and more is

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the impact on the Fourth Amendment.

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Yeah, and the Fourth Amendment that

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deals with, help me out

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here. Unreasonable searching.

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That's right, searching.

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And when I think about, you

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know, the evolution of technology,

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and especially for a person like

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yourself who spent 40 years in this

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industry, it brings

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back, you, know, I think about

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the things that, you know, that I've

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seen just in my lifetime, your

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lifetime.

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I just kind of took some notes here.

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I've seen things on

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cuffing techniques.

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I've seen things on

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bulletproof vests,

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changing body cameras,

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license plate readers,

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facial recognition systems.

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What stands out to you in terms

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of...

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Well, when I started, things were

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a lot different back then.

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I mean, most

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police officers were using

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revolvers.

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You had to take your time and put

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the round in the

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gun.

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Like a musket, are you saying like a

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mutt?

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Like a musket.

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You know bulletproof vests were

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just coming into their own.

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Now what you see is

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you see vests

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that are worn on the exterior with

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all kinds of different things

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on it from from lights

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to maybe a second handgun

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to extra rounds and things like

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that.

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We didn't even have trauma plates.

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And a trauma plate was really

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important. A trauma plate

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is what is on a bulletproof

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vest that when the

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round hits the

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bulletproof vests that it reduces

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the damage to the heart

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because that's a major impact.

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We didn't even have those kind of

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things. Of course we

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didn't have the great uniforms.

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We're wearing polyester.

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Everyone had to wear, you

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know, the. Three, the

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police cap, there were no baseball

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caps, that was not allowed.

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And so it was, it almost,

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it's almost laughable now what

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we have available to us than

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what we do right

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now.

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Yeah, and those tools are really

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every time something comes out.

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I guess the whole idea is that

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it makes law

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enforcement and enforcing the laws

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easier. Is that the whole?

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The tool should make

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communities safer, law enforcement

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easier, but

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it still comes down to even

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back then, the tool that you

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used the most was

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a pad of paper and a pencil to

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get information. The tool that used

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the the most, was talking and

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engaging with citizens.

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That is transcended.

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That will never change.

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I was going to say, and do you think

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we've moved too far away from that

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because of technology?

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I think the risk is

292
00:09:15,900 --> 00:09:18,139
there and what

293
00:09:18,140 --> 00:09:19,959
I'm hoping is that

294
00:09:19,960 --> 00:09:22,059
we're starting to create awareness

295
00:09:22,060 --> 00:09:24,159
on that we don't lose

296
00:09:24,160 --> 00:09:24,959
those things.

297
00:09:24,960 --> 00:09:26,819
Things like building trust

298
00:09:26,820 --> 00:09:27,679
with the community.

299
00:09:27,680 --> 00:09:29,519
Things like, you know, are

300
00:09:29,520 --> 00:09:31,379
we operating in a bias and

301
00:09:31,380 --> 00:09:33,499
non-transparent manner?

302
00:09:33,500 --> 00:09:35,459
Are we listening to

303
00:09:35,460 --> 00:09:37,539
people when there are complaints?

304
00:09:37,540 --> 00:09:39,319
Those are some of the things that I

305
00:09:39,320 --> 00:09:41,519
hope that we lose the

306
00:09:41,520 --> 00:09:42,520
empathy for people.

307
00:09:43,589 --> 00:09:47,329
When you have technology,

308
00:09:47,330 --> 00:09:49,169
one of the things that you lose at

309
00:09:49,170 --> 00:09:50,989
times with technology is that it

310
00:09:50,990 --> 00:09:53,189
is an objective standard.

311
00:09:53,190 --> 00:09:55,829
You see the video, you see DNA,

312
00:09:55,830 --> 00:09:58,009
you know, you'll see things

313
00:09:58,010 --> 00:09:59,169
that are there.

314
00:10:00,450 --> 00:10:02,709
But in policing,

315
00:10:02,710 --> 00:10:05,389
subjectivity, discretion, humility,

316
00:10:05,390 --> 00:10:07,329
empathy, and trust, those

317
00:10:07,330 --> 00:10:09,429
are hallmarks that are

318
00:10:09,430 --> 00:10:11,429
in behind good policing in

319
00:10:11,430 --> 00:10:12,359
America.

320
00:10:12,360 --> 00:10:14,239
So then when I, you think about some

321
00:10:14,240 --> 00:10:15,339
of the things that you see out there

322
00:10:15,340 --> 00:10:17,439
now, especially with all the social

323
00:10:17,440 --> 00:10:19,499
media things that are out there,

324
00:10:19,500 --> 00:10:21,479
and you'll see things that

325
00:10:21,480 --> 00:10:23,220
are very easily manipulated,

326
00:10:24,360 --> 00:10:25,539
it almost to the point where you

327
00:10:25,540 --> 00:10:27,399
look at something and you have

328
00:10:27,400 --> 00:10:29,220
to ask yourself, is that real?

329
00:10:31,380 --> 00:10:33,259
It seems like there needs to be and

330
00:10:33,260 --> 00:10:35,039
should be some sort of a balance

331
00:10:35,040 --> 00:10:36,879
between the technology

332
00:10:36,880 --> 00:10:38,819
and the person that's managing

333
00:10:38,820 --> 00:10:40,239
that technology.

334
00:10:40,240 --> 00:10:41,919
How do you see that?

335
00:10:41,920 --> 00:10:43,939
This is something that

336
00:10:43,940 --> 00:10:46,059
I think communities, law enforcement

337
00:10:46,060 --> 00:10:49,179
need to get together on,

338
00:10:49,180 --> 00:10:51,059
as well as the

339
00:10:51,060 --> 00:10:53,200
manufacturers of technology.

340
00:10:54,380 --> 00:10:56,519
You can have

341
00:10:56,520 --> 00:10:59,119
video that

342
00:10:59,120 --> 00:11:00,979
will give a false negative.

343
00:11:00,980 --> 00:11:03,019
Still, we have not resolved

344
00:11:03,020 --> 00:11:05,399
this idea of

345
00:11:05,400 --> 00:11:07,519
women of color and small children.

346
00:11:07,520 --> 00:11:09,339
Showing a

347
00:11:09,340 --> 00:11:11,259
pretty good high percentage of false

348
00:11:11,260 --> 00:11:13,479
positives when we're

349
00:11:13,480 --> 00:11:15,039
looking at surveillance video,

350
00:11:15,040 --> 00:11:16,559
facial recognition.

351
00:11:16,560 --> 00:11:18,599
So those are some things that we

352
00:11:18,600 --> 00:11:20,439
should always be concerned

353
00:11:20,440 --> 00:11:21,309
about.

354
00:11:21,310 --> 00:11:22,709
What kind of thing would cause

355
00:11:22,710 --> 00:11:24,349
something like that to be happening,

356
00:11:24,350 --> 00:11:24,899
you think?

357
00:11:24,900 --> 00:11:27,539
It is

358
00:11:27,540 --> 00:11:29,399
the technology, and when you

359
00:11:29,400 --> 00:11:31,519
talk to the experts in the field,

360
00:11:31,520 --> 00:11:33,399
the ones that are,

361
00:11:33,400 --> 00:11:34,479
not only the experts on the field

362
00:11:34,480 --> 00:11:36,719
but the ones who are producing this,

363
00:11:36,720 --> 00:11:38,819
they have not resolved that.

364
00:11:38,820 --> 00:11:39,820
However,

365
00:11:40,740 --> 00:11:41,819
one of the things that you always

366
00:11:41,820 --> 00:11:43,939
have to be mindful of is

367
00:11:43,940 --> 00:11:45,899
that even the manufacturers,

368
00:11:45,900 --> 00:11:47,459
all human beings have implicit

369
00:11:47,460 --> 00:11:48,399
biases.

370
00:11:48,400 --> 00:11:50,239
So sometimes those implicit

371
00:11:50,240 --> 00:11:52,049
biases can come through through the

372
00:11:52,050 --> 00:11:53,429
manufacturer's work.

373
00:11:53,430 --> 00:11:55,029
Sometimes implicit biases can come

374
00:11:55,030 --> 00:11:56,989
through through how the

375
00:11:56,990 --> 00:11:58,869
technology is deployed.

376
00:11:58,870 --> 00:12:00,189
What's your simple way of how you

377
00:12:00,190 --> 00:12:01,909
would describe what an implicit bias

378
00:12:01,910 --> 00:12:02,869
is? Because I think some people

379
00:12:02,870 --> 00:12:04,549
don't understand what that is

380
00:12:04,550 --> 00:12:05,569
sometimes.

381
00:12:05,570 --> 00:12:07,929
This implicit bias is

382
00:12:07,930 --> 00:12:09,849
a bias that

383
00:12:09,850 --> 00:12:12,329
is not

384
00:12:12,330 --> 00:12:14,809
overt, it is not necessarily

385
00:12:14,810 --> 00:12:16,089
animus.

386
00:12:16,090 --> 00:12:17,909
It is those things that

387
00:12:17,910 --> 00:12:20,149
we do subconsciously

388
00:12:20,150 --> 00:12:22,229
that we may not

389
00:12:22,230 --> 00:12:24,189
be aware of, but it

390
00:12:24,190 --> 00:12:26,489
adversely affects our behavior,

391
00:12:26,490 --> 00:12:28,609
it adversly affects how we

392
00:12:28,610 --> 00:12:30,769
do things, how we make judgments,

393
00:12:30,770 --> 00:12:32,098
and how we.

394
00:12:32,099 --> 00:12:33,219
Perceive things.

395
00:12:33,220 --> 00:12:35,279
So that's how it impacts police.

396
00:12:35,280 --> 00:12:36,359
It's like a pre-judgment kind of

397
00:12:36,360 --> 00:12:37,839
thing? It's a pre judgment.

398
00:12:37,840 --> 00:12:39,999
It's it's a it's a pre judge of

399
00:12:40,000 --> 00:12:41,839
what we do and what we see.

400
00:12:41,840 --> 00:12:43,659
That person's overweight so that's.

401
00:12:43,660 --> 00:12:45,559
To eat a lot. And it's not true.

402
00:12:45,560 --> 00:12:46,779
Absolutely.

403
00:12:46,780 --> 00:12:48,979
And the 800 pound gorilla

404
00:12:48,980 --> 00:12:51,719
in the United States is

405
00:12:51,720 --> 00:12:53,819
implicit bias based

406
00:12:53,820 --> 00:12:55,019
upon race.

407
00:12:55,020 --> 00:12:56,239
That's the 800-pound gorilla.

408
00:12:56,240 --> 00:12:58,239
That's what everyone focuses on.

409
00:12:58,240 --> 00:13:00,399
But as you just mentioned,

410
00:13:00,400 --> 00:13:01,460
weight, age,

411
00:13:02,800 --> 00:13:04,699
language, height, all

412
00:13:04,700 --> 00:13:07,899
of those things we prejudge.

413
00:13:07,900 --> 00:13:10,359
And the one that we prejudged

414
00:13:10,360 --> 00:13:11,329
that we...

415
00:13:11,330 --> 00:13:13,409
We need to really get a handle on,

416
00:13:13,410 --> 00:13:15,029
and those are the social economic

417
00:13:15,030 --> 00:13:15,849
factors.

418
00:13:15,850 --> 00:13:17,529
Sometimes they cut across all of

419
00:13:17,530 --> 00:13:18,629
those categories.

420
00:13:18,630 --> 00:13:20,489
When we see someone that is

421
00:13:20,490 --> 00:13:22,689
homeless, looks destitute,

422
00:13:22,690 --> 00:13:24,809
we in the back of our minds

423
00:13:24,810 --> 00:13:26,969
develop a detachment.

424
00:13:26,970 --> 00:13:28,809
There are some telltale signs,

425
00:13:28,810 --> 00:13:30,929
some watch outs for implicit

426
00:13:30,930 --> 00:13:32,749
bias. One is if

427
00:13:32,750 --> 00:13:34,669
you start to see a

428
00:13:34,670 --> 00:13:36,709
group of people and thinking

429
00:13:36,710 --> 00:13:38,889
all of them do something

430
00:13:38,890 --> 00:13:40,109
a certain way.

431
00:13:40,110 --> 00:13:42,329
Or everyone does it this way.

432
00:13:42,330 --> 00:13:44,209
Those are things that you may

433
00:13:44,210 --> 00:13:46,489
wanna do a self-check because every

434
00:13:46,490 --> 00:13:47,869
human being is different.

435
00:13:47,870 --> 00:13:49,589
And when you start to include

436
00:13:49,590 --> 00:13:51,509
everyone and saying everyone does a

437
00:13:51,510 --> 00:13:53,569
certain way, that's when you become

438
00:13:53,570 --> 00:13:55,429
susceptible to

439
00:13:55,430 --> 00:13:56,809
treating people differently and

440
00:13:56,810 --> 00:13:58,549
prejudging. It sounds dangerous to

441
00:13:58,550 --> 00:14:00,029
policing, is it?

442
00:14:00,030 --> 00:14:01,329
It is dangerous.

443
00:14:01,330 --> 00:14:03,689
And it is dangerous because

444
00:14:03,690 --> 00:14:05,809
you can prejudge, I remember

445
00:14:05,810 --> 00:14:07,889
as a

446
00:14:07,890 --> 00:14:09,129
rookie cop.

447
00:14:09,130 --> 00:14:11,729
Pre-judging a situation where,

448
00:14:11,730 --> 00:14:14,249
because it was a female involved,

449
00:14:14,250 --> 00:14:16,349
I assume that

450
00:14:16,350 --> 00:14:17,969
she did not have a weapon, that she

451
00:14:17,970 --> 00:14:19,569
was not a threat.

452
00:14:19,570 --> 00:14:21,629
But I have run into encounters

453
00:14:21,630 --> 00:14:23,889
where a female was

454
00:14:23,890 --> 00:14:25,729
involved and they had a

455
00:14:25,730 --> 00:14:27,749
weapon and they were just as

456
00:14:27,750 --> 00:14:29,869
much of a threat, but I was pre-

457
00:14:29,870 --> 00:14:31,309
judging the situation and that

458
00:14:31,310 --> 00:14:33,029
placed me at danger.

459
00:14:33,030 --> 00:14:34,989
You have to evaluate

460
00:14:34,990 --> 00:14:36,829
the situation based upon what you

461
00:14:36,830 --> 00:14:39,469
have. That is called individualized

462
00:14:39,470 --> 00:14:41,569
suspicion and making sure

463
00:14:41,570 --> 00:14:43,809
that you're calculating place,

464
00:14:43,810 --> 00:14:45,869
size, manner, how the person

465
00:14:45,870 --> 00:14:47,129
deports themself, how they're

466
00:14:47,130 --> 00:14:49,029
looking at you, and always more

467
00:14:49,030 --> 00:14:51,039
importantly, where their hands are.

468
00:14:51,040 --> 00:14:52,999
Yeah, and when we talk

469
00:14:53,000 --> 00:14:54,819
about implicit bias in

470
00:14:54,820 --> 00:14:56,779
humans, is there

471
00:14:56,780 --> 00:14:58,019
such a thing when it comes to

472
00:14:58,020 --> 00:14:59,819
technology, especially AI technology

473
00:14:59,820 --> 00:15:01,159
and how it's being facilitated?

474
00:15:02,440 --> 00:15:04,259
Yes, in a number

475
00:15:04,260 --> 00:15:05,099
of different ways.

476
00:15:05,100 --> 00:15:07,099
One, implicit bias can come through

477
00:15:07,100 --> 00:15:08,959
in how it's deployed.

478
00:15:08,960 --> 00:15:10,839
Let me give you an example.

479
00:15:10,840 --> 00:15:13,079
If I start off and

480
00:15:13,080 --> 00:15:16,739
I deploy, say,

481
00:15:16,740 --> 00:15:18,839
cameras in an area that

482
00:15:18,840 --> 00:15:20,719
are license plate readers,

483
00:15:20,720 --> 00:15:22,959
and I deployed that based upon I've

484
00:15:22,960 --> 00:15:25,399
got information that there's

485
00:15:25,400 --> 00:15:26,859
a higher incidence of people

486
00:15:26,860 --> 00:15:28,859
violating certain things,

487
00:15:28,860 --> 00:15:31,239
that may be true at the beginning,

488
00:15:31,240 --> 00:15:32,209
okay?

489
00:15:32,210 --> 00:15:33,609
But if I don't come back and check

490
00:15:33,610 --> 00:15:35,489
that, that camera can

491
00:15:35,490 --> 00:15:37,089
start to produce a self-fulfilling

492
00:15:37,090 --> 00:15:38,949
prophecy because what will

493
00:15:38,950 --> 00:15:40,789
happen is that it will continue

494
00:15:40,790 --> 00:15:42,329
to see the same people.

495
00:15:42,330 --> 00:15:44,209
And that will continue even though

496
00:15:44,210 --> 00:15:46,089
it may have changed that that's

497
00:15:46,090 --> 00:15:47,789
not the highest area, the highest

498
00:15:47,790 --> 00:15:49,189
percentage of area, but because

499
00:15:49,190 --> 00:15:50,549
they're taking that information,

500
00:15:50,550 --> 00:15:52,389
we're looking at saying, oh, this is

501
00:15:52,390 --> 00:15:53,409
the highest percent.

502
00:15:53,410 --> 00:15:55,789
The other way that it can

503
00:15:55,790 --> 00:15:57,769
become an

504
00:15:57,770 --> 00:16:00,129
implicit bias is

505
00:16:00,130 --> 00:16:02,369
is how it is designed.

506
00:16:02,370 --> 00:16:04,689
What is it designed to pick up on?

507
00:16:04,690 --> 00:16:06,649
What are the features and

508
00:16:06,650 --> 00:16:08,449
what are the locations and what of

509
00:16:08,450 --> 00:16:10,469
the things that it is design

510
00:16:10,470 --> 00:16:11,470
to do?

511
00:16:12,230 --> 00:16:13,949
That gets a bit complicated and I

512
00:16:13,950 --> 00:16:15,369
don't know if I can get into it in

513
00:16:15,370 --> 00:16:17,789
this particular

514
00:16:17,790 --> 00:16:18,790
moment.

515
00:16:19,270 --> 00:16:21,189
But again, highlighting one

516
00:16:21,190 --> 00:16:23,089
of the telltale signs is anytime

517
00:16:23,090 --> 00:16:25,409
there is like a predictive

518
00:16:25,410 --> 00:16:27,229
analysis that takes place

519
00:16:27,230 --> 00:16:29,109
before it is deployed.

520
00:16:29,110 --> 00:16:30,949
That's when you should start taking

521
00:16:30,950 --> 00:16:33,229
a closer look at is

522
00:16:33,230 --> 00:16:34,329
there a bias inherent?

523
00:16:34,330 --> 00:16:36,489
Because that's when discretion is

524
00:16:36,490 --> 00:16:38,329
used. Human discretion, as

525
00:16:38,330 --> 00:16:40,369
always, opens up human

526
00:16:40,370 --> 00:16:40,739
error.

527
00:16:40,740 --> 00:16:41,999
Yeah, I can't resist this.

528
00:16:42,000 --> 00:16:43,599
But you and I joked earlier before

529
00:16:43,600 --> 00:16:44,639
we kind of began this interview

530
00:16:44,640 --> 00:16:46,399
about the red cup.

531
00:16:46,400 --> 00:16:48,399
And I told you

532
00:16:48,400 --> 00:16:49,639
a story about me going to a badger

533
00:16:49,640 --> 00:16:51,379
game when I first moved here, and I

534
00:16:51,380 --> 00:16:53,339
had water in my red cup,

535
00:16:53,340 --> 00:16:54,959
and the police officer made me put

536
00:16:54,960 --> 00:16:57,599
it out because they assumed that

537
00:16:57,600 --> 00:16:59,699
it might be liquor in there.

538
00:16:59,700 --> 00:17:01,579
Is that an implicit bias?

539
00:17:01,580 --> 00:17:02,859
The fact that I have a red cup that

540
00:17:02,860 --> 00:17:04,338
there is something in there other

541
00:17:04,339 --> 00:17:05,339
than water?

542
00:17:06,130 --> 00:17:08,169
That implicit bias can come

543
00:17:08,170 --> 00:17:10,549
in so many ways, and I'll

544
00:17:10,550 --> 00:17:12,108
say the reason why it's complicated.

545
00:17:12,109 --> 00:17:14,149
One is, why did they select you?

546
00:17:14,150 --> 00:17:16,929
Two, to even ask you that question.

547
00:17:16,930 --> 00:17:19,588
Just because a cup is red, there's

548
00:17:19,589 --> 00:17:21,409
no reason to believe,

549
00:17:21,410 --> 00:17:23,368
there is not a 100% reason to

550
00:17:23,369 --> 00:17:25,209
believe that. But if someone is

551
00:17:25,210 --> 00:17:27,328
operating on this principle

552
00:17:27,329 --> 00:17:29,589
that any and all people

553
00:17:29,590 --> 00:17:31,449
with red cups have liquor

554
00:17:31,450 --> 00:17:33,569
in it, they have prejudged

555
00:17:33,570 --> 00:17:34,839
the situation. That's what I felt.

556
00:17:34,840 --> 00:17:36,899
So, that

557
00:17:36,900 --> 00:17:39,779
leads to

558
00:17:39,780 --> 00:17:41,160
problematic policing.

559
00:17:43,000 --> 00:17:44,939
And so what we would ask that police

560
00:17:44,940 --> 00:17:47,519
officer to do is

561
00:17:47,520 --> 00:17:49,779
review what they do,

562
00:17:49,780 --> 00:17:51,300
ask themselves some questions.

563
00:17:53,500 --> 00:17:55,479
But for this person

564
00:17:55,480 --> 00:17:57,359
having the red cup, would I have

565
00:17:57,360 --> 00:17:58,879
contacted them?

566
00:17:58,880 --> 00:18:01,439
But for believing that

567
00:18:01,440 --> 00:18:03,999
every person with a red cup has

568
00:18:04,000 --> 00:18:06,159
liquor in it,

569
00:18:06,160 --> 00:18:08,199
would I had done what

570
00:18:08,200 --> 00:18:10,179
I did and would I've

571
00:18:10,180 --> 00:18:11,999
contacted this

572
00:18:12,000 --> 00:18:14,259
person? Those are the questions that

573
00:18:14,260 --> 00:18:16,219
we can do it. There are good people.

574
00:18:16,220 --> 00:18:17,779
All people have implicit biases.

575
00:18:17,780 --> 00:18:18,839
There are people. People.

576
00:18:18,840 --> 00:18:20,779
The thing is we are

577
00:18:20,780 --> 00:18:22,609
bound to

578
00:18:22,610 --> 00:18:24,829
to provide service in

579
00:18:24,830 --> 00:18:27,029
a fair and impartial manner.

580
00:18:27,030 --> 00:18:28,889
So that's the difference between

581
00:18:28,890 --> 00:18:30,589
a police officer or someone in

582
00:18:30,590 --> 00:18:31,809
government and just an everyday

583
00:18:31,810 --> 00:18:32,689
person.

584
00:18:32,690 --> 00:18:34,509
Because I have the right

585
00:18:34,510 --> 00:18:36,669
to take away your freedom as

586
00:18:36,670 --> 00:18:37,789
a police office.

587
00:18:37,790 --> 00:18:39,769
Because I can use force up

588
00:18:39,770 --> 00:18:41,669
to including, physical force

589
00:18:41,670 --> 00:18:43,629
up including,

590
00:18:43,630 --> 00:18:45,529
unfortunately, the potential

591
00:18:45,530 --> 00:18:47,009
of taking your life.

592
00:18:47,010 --> 00:18:50,089
I have that constitutional,

593
00:18:50,090 --> 00:18:52,189
that burden of being,

594
00:18:52,190 --> 00:18:55,349
and it's not a burden, it is what we

595
00:18:55,350 --> 00:18:57,009
take that oath for,

596
00:18:58,230 --> 00:19:00,229
to do it in a way

597
00:19:00,230 --> 00:19:02,209
where I'm a guardian of

598
00:19:02,210 --> 00:19:04,109
democracy and not trying

599
00:19:04,110 --> 00:19:06,549
to get away with something,

600
00:19:06,550 --> 00:19:08,869
or trying to be overbearing

601
00:19:08,870 --> 00:19:10,789
and tyrannical on those things.

602
00:19:10,790 --> 00:19:12,909
It's an awesome power,

603
00:19:12,910 --> 00:19:15,209
but it's only awesome

604
00:19:15,210 --> 00:19:16,210
when it's used correct.

605
00:19:17,220 --> 00:19:19,319
And you talked about license

606
00:19:19,320 --> 00:19:21,159
plate readers, tools

607
00:19:21,160 --> 00:19:22,619
that are used to kind of gather

608
00:19:22,620 --> 00:19:23,620
information.

609
00:19:25,060 --> 00:19:26,499
And during our pre-interview, you

610
00:19:26,500 --> 00:19:28,339
know, I learned about

611
00:19:28,340 --> 00:19:30,319
this technique

612
00:19:30,320 --> 00:19:32,499
of called, is it

613
00:19:32,500 --> 00:19:33,459
the flocking?

614
00:19:33,460 --> 00:19:34,479
Flock.

615
00:19:34,480 --> 00:19:36,029
Explain what that is.

616
00:19:36,030 --> 00:19:37,969
A plot camera is a camera that is

617
00:19:37,970 --> 00:19:41,029
deployed in certain parts of

618
00:19:41,030 --> 00:19:42,869
a particular geographic area

619
00:19:42,870 --> 00:19:45,209
and what it does is

620
00:19:45,210 --> 00:19:47,249
it picks up information and it goes

621
00:19:47,250 --> 00:19:48,949
back to a certain point.

622
00:19:48,950 --> 00:19:51,489
Many times it's a command center and

623
00:19:51,490 --> 00:19:53,429
what is does is reads license

624
00:19:53,430 --> 00:19:55,369
plates, it reads information about

625
00:19:55,370 --> 00:19:57,429
it and depending upon the technology

626
00:19:57,430 --> 00:19:59,249
they're starting to be able to

627
00:19:59,250 --> 00:20:01,169
pick up and extract more

628
00:20:01,170 --> 00:20:03,029
information from that.

629
00:20:03,030 --> 00:20:05,109
But...

630
00:20:05,110 --> 00:20:07,309
It can pick up

631
00:20:07,310 --> 00:20:09,269
by reading a plate,

632
00:20:09,270 --> 00:20:11,989
does this person have a violation?

633
00:20:11,990 --> 00:20:14,249
Has this person been previously,

634
00:20:14,250 --> 00:20:16,769
I mean, does this have

635
00:20:16,770 --> 00:20:18,629
warrants out for their arrest?

636
00:20:18,630 --> 00:20:20,649
All of that type of information is

637
00:20:20,650 --> 00:20:22,669
there. So the question with flock

638
00:20:22,670 --> 00:20:24,529
cameras really comes down

639
00:20:24,530 --> 00:20:25,729
to this.

640
00:20:25,730 --> 00:20:27,549
Are they there to be

641
00:20:27,550 --> 00:20:29,509
used after the

642
00:20:29,510 --> 00:20:31,389
fact when we say

643
00:20:31,390 --> 00:20:32,489
a crime was committed?

644
00:20:32,490 --> 00:20:34,469
Then they come back and they look at

645
00:20:34,470 --> 00:20:35,249
it and say...

646
00:20:35,250 --> 00:20:37,189
Yeah, this person was

647
00:20:37,190 --> 00:20:39,329
driving in this area at

648
00:20:39,330 --> 00:20:40,769
this particular time.

649
00:20:40,770 --> 00:20:42,489
This is when the crime was

650
00:20:42,490 --> 00:20:43,669
committed.

651
00:20:43,670 --> 00:20:46,089
I think people probably

652
00:20:46,090 --> 00:20:48,169
have a better feel

653
00:20:48,170 --> 00:20:50,449
for that. It's just like the

654
00:20:50,450 --> 00:20:53,049
bombing incident

655
00:20:53,050 --> 00:20:54,869
in

656
00:20:54,870 --> 00:20:56,849
Boston with the marathon.

657
00:20:56,850 --> 00:20:58,249
They went back and they start

658
00:20:58,250 --> 00:21:00,089
checking the cameras and they could

659
00:21:00,090 --> 00:21:01,529
start to piece together things.

660
00:21:01,530 --> 00:21:03,469
I think most citizens

661
00:21:03,470 --> 00:21:05,419
understand that use.

662
00:21:05,420 --> 00:21:07,559
Where it becomes a question

663
00:21:07,560 --> 00:21:09,439
is proactively how

664
00:21:09,440 --> 00:21:10,779
it is used.

665
00:21:10,780 --> 00:21:12,859
So if I'm using this information and

666
00:21:12,860 --> 00:21:14,719
then I act on it,

667
00:21:14,720 --> 00:21:16,659
even if you have not

668
00:21:16,660 --> 00:21:18,659
committed a crime right then

669
00:21:18,660 --> 00:21:20,559
and there, I go knock on your

670
00:21:20,560 --> 00:21:22,439
door and say, hey, you came through

671
00:21:22,440 --> 00:21:24,559
this intersection at

672
00:21:24,560 --> 00:21:25,839
such and such date and time.

673
00:21:25,840 --> 00:21:27,359
This is a potential.

674
00:21:27,360 --> 00:21:29,059
And based upon the information we

675
00:21:29,060 --> 00:21:30,939
have, you have a warrant for your

676
00:21:30,940 --> 00:21:31,799
arrest.

677
00:21:31,800 --> 00:21:34,289
So people ask those questions or

678
00:21:34,290 --> 00:21:36,409
You were here

679
00:21:36,410 --> 00:21:38,689
and you're being surveilled

680
00:21:38,690 --> 00:21:40,529
now. People complain about

681
00:21:40,530 --> 00:21:42,449
the issues of privacy.

682
00:21:42,450 --> 00:21:43,589
And what's done with that

683
00:21:43,590 --> 00:21:44,889
information once it's gathered, what

684
00:21:44,890 --> 00:21:45,839
happens to it at that

685
00:21:45,840 --> 00:21:48,479
That's, that's another issue.

686
00:21:48,480 --> 00:21:50,759
In the, in, in most states,

687
00:21:52,620 --> 00:21:54,479
information has been historically

688
00:21:54,480 --> 00:21:56,399
treated in their laws that

689
00:21:56,400 --> 00:21:58,299
govern. How long you can maintain a

690
00:21:58,300 --> 00:22:00,019
record. Where does the information

691
00:22:00,020 --> 00:22:02,059
go? Who has access to

692
00:22:02,060 --> 00:22:03,899
it? So one of

693
00:22:03,900 --> 00:22:05,699
the other concerns that communities

694
00:22:05,700 --> 00:22:07,699
need to wrestle with is that

695
00:22:07,700 --> 00:22:09,599
if, if a third

696
00:22:09,600 --> 00:22:11,899
party has data and information

697
00:22:11,900 --> 00:22:13,839
and if the government has access

698
00:22:13,840 --> 00:22:15,659
to that. Have they made

699
00:22:15,660 --> 00:22:17,599
that third party become a de

700
00:22:17,600 --> 00:22:20,099
facto part of the government because

701
00:22:20,100 --> 00:22:22,619
they're accessing their information?

702
00:22:22,620 --> 00:22:24,779
But where is that stored?

703
00:22:24,780 --> 00:22:26,299
What information do they have on

704
00:22:26,300 --> 00:22:28,499
you? Don't you have a right to

705
00:22:28,500 --> 00:22:30,359
know what your government has

706
00:22:30,360 --> 00:22:32,219
on you?" These are questions

707
00:22:32,220 --> 00:22:34,159
that communities really do need to

708
00:22:34,160 --> 00:22:34,669
wrestle with.

709
00:22:34,670 --> 00:22:36,909
Yeah, and we know that some

710
00:22:36,910 --> 00:22:39,289
law enforcement agencies,

711
00:22:39,290 --> 00:22:40,829
departments around the state have

712
00:22:40,830 --> 00:22:42,989
been moving away from that system.

713
00:22:42,990 --> 00:22:43,909
Why do you think it's so

714
00:22:43,910 --> 00:22:46,009
controversial, and why would they

715
00:22:46,010 --> 00:22:47,499
move away from it, you think?

716
00:22:47,500 --> 00:22:49,839
I think, first

717
00:22:49,840 --> 00:22:51,959
of all, I think it was

718
00:22:51,960 --> 00:22:53,899
developed, in many

719
00:22:53,900 --> 00:22:55,859
instances, to

720
00:22:55,860 --> 00:22:57,919
improve public safety.

721
00:22:57,920 --> 00:22:59,379
I'm not going to conclude that that

722
00:22:59,380 --> 00:23:01,199
was not the reason.

723
00:23:01,200 --> 00:23:03,359
But I think

724
00:23:03,360 --> 00:23:05,259
that right now, we're

725
00:23:05,260 --> 00:23:07,259
behind the curve.

726
00:23:07,260 --> 00:23:09,359
We are behind the curves because

727
00:23:09,360 --> 00:23:11,219
we have not,

728
00:23:11,220 --> 00:23:13,439
as a community,

729
00:23:13,440 --> 00:23:15,359
provided what they

730
00:23:15,360 --> 00:23:16,789
should be used for.

731
00:23:16,790 --> 00:23:18,569
What are the standards?

732
00:23:18,570 --> 00:23:21,009
What are standards of privacy that

733
00:23:21,010 --> 00:23:23,209
that community accepts?

734
00:23:23,210 --> 00:23:25,109
How should the police department

735
00:23:25,110 --> 00:23:25,909
use it?

736
00:23:25,910 --> 00:23:27,669
Some communities have gone and what

737
00:23:27,670 --> 00:23:29,509
they've done is that they've pulled

738
00:23:29,510 --> 00:23:31,529
together stakeholders and

739
00:23:31,530 --> 00:23:33,389
they've discussed from

740
00:23:33,390 --> 00:23:35,189
every branch.

741
00:23:35,190 --> 00:23:37,109
They've pulled people that

742
00:23:37,110 --> 00:23:39,129
are community

743
00:23:39,130 --> 00:23:40,969
members, civil liberties,

744
00:23:40,970 --> 00:23:42,629
they've pull together people that

745
00:23:42,630 --> 00:23:44,529
are subject matter experts, the

746
00:23:44,530 --> 00:23:46,349
manufacturers, and they have come

747
00:23:46,350 --> 00:23:48,859
up with. Some broad guidelines,

748
00:23:48,860 --> 00:23:50,679
and then the community starts

749
00:23:50,680 --> 00:23:52,559
to lay out for

750
00:23:52,560 --> 00:23:54,479
law enforcement, here's

751
00:23:54,480 --> 00:23:56,059
some policies, here are some

752
00:23:56,060 --> 00:23:58,219
procedures, here is some ordinances

753
00:23:58,220 --> 00:24:00,139
that we think would work, and they

754
00:24:00,140 --> 00:24:02,939
all have to be constantly improved.

755
00:24:02,940 --> 00:24:04,999
But right now, we're behind the

756
00:24:05,000 --> 00:24:06,759
eight ball because we have not done

757
00:24:06,760 --> 00:24:08,979
that. And so we're

758
00:24:08,980 --> 00:24:11,039
reaching for this technology before

759
00:24:11,040 --> 00:24:13,059
we know its total impact,

760
00:24:13,060 --> 00:24:14,899
and we're before we know the

761
00:24:14,900 --> 00:24:15,939
total impact.

762
00:24:15,940 --> 00:24:17,799
One of the numbers I heard,

763
00:24:17,800 --> 00:24:18,919
don't quote me,

764
00:24:20,120 --> 00:24:22,339
but I went to a seminar last summer

765
00:24:22,340 --> 00:24:24,479
and talked about AI and

766
00:24:24,480 --> 00:24:26,379
how it was being used and I

767
00:24:26,380 --> 00:24:27,919
think at that time they were saying

768
00:24:27,920 --> 00:24:29,979
that it's

769
00:24:29,980 --> 00:24:32,619
only correct 80% of the time.

770
00:24:32,620 --> 00:24:33,959
And so is it okay for something

771
00:24:33,960 --> 00:24:36,199
that's wrong 20%

772
00:24:36,200 --> 00:24:38,079
of time, is it ok

773
00:24:38,080 --> 00:24:39,299
to use that as a tool?

774
00:24:42,350 --> 00:24:44,249
How do you weigh the value

775
00:24:44,250 --> 00:24:46,349
it brings in terms of

776
00:24:46,350 --> 00:24:47,789
what it brings to law enforcement

777
00:24:47,790 --> 00:24:49,109
versus

778
00:24:51,230 --> 00:24:53,209
the problem it creates

779
00:24:53,210 --> 00:24:55,989
from it being used improperly

780
00:24:55,990 --> 00:24:57,540
by the humans that control it?

781
00:24:59,510 --> 00:25:01,289
It's a very complex question, but a

782
00:25:01,290 --> 00:25:02,769
good one.

783
00:25:02,770 --> 00:25:04,449
So I gave the example of a fly

784
00:25:04,450 --> 00:25:06,289
camera. If someone is

785
00:25:06,290 --> 00:25:07,809
wanted for murder, you want that

786
00:25:07,810 --> 00:25:08,729
person off the street.

787
00:25:08,730 --> 00:25:10,109
You want that fly camera to be able

788
00:25:10,110 --> 00:25:10,989
to pick that up.

789
00:25:10,990 --> 00:25:12,589
But let me give you an example that

790
00:25:12,590 --> 00:25:14,389
happens every day.

791
00:25:14,390 --> 00:25:16,509
One, if you are under,

792
00:25:16,510 --> 00:25:18,929
if you go to go

793
00:25:18,930 --> 00:25:21,549
on a cruise ship, your picture is

794
00:25:21,550 --> 00:25:23,329
taken, okay?

795
00:25:23,330 --> 00:25:25,209
And that could be used in other

796
00:25:25,210 --> 00:25:25,991
ways. Government could use it.

797
00:25:25,992 --> 00:25:26,969
And do you think most people...

798
00:25:26,970 --> 00:25:28,029
Soon and understand.

799
00:25:28,030 --> 00:25:29,409
And that's happening wherever they

800
00:25:29,410 --> 00:25:30,669
go now? No, they don't.

801
00:25:30,670 --> 00:25:32,529
They don't, I

802
00:25:32,530 --> 00:25:34,229
don't think they understand that the

803
00:25:34,230 --> 00:25:37,069
government can, at times,

804
00:25:37,070 --> 00:25:39,849
they can decide to subpoena that,

805
00:25:39,850 --> 00:25:41,729
that private entity could

806
00:25:41,730 --> 00:25:43,249
decide to give it to them.

807
00:25:43,250 --> 00:25:44,469
They don't know that.

808
00:25:44,470 --> 00:25:47,509
But that, to me,

809
00:25:47,510 --> 00:25:49,849
can be more problematic.

810
00:25:49,850 --> 00:25:51,629
However, in answering to your

811
00:25:51,630 --> 00:25:53,669
question, sometimes it's

812
00:25:53,670 --> 00:25:54,729
situational.

813
00:25:54,730 --> 00:25:56,569
They do the same thing in many

814
00:25:56,570 --> 00:25:57,809
instances if you get on a flight.

815
00:25:58,830 --> 00:26:01,109
But because the risk of

816
00:26:01,110 --> 00:26:02,629
a person getting on that flight and

817
00:26:02,630 --> 00:26:04,029
that plane coming down, if that

818
00:26:04,030 --> 00:26:06,389
person takes that plane down,

819
00:26:06,390 --> 00:26:08,389
you're willing to take more of a

820
00:26:08,390 --> 00:26:09,269
risk.

821
00:26:09,270 --> 00:26:11,229
You're willing give up more of your

822
00:26:11,230 --> 00:26:13,069
privacy if the

823
00:26:13,070 --> 00:26:15,709
risk is higher or if it's

824
00:26:15,710 --> 00:26:17,989
effective and it's important to

825
00:26:17,990 --> 00:26:18,949
save lives.

826
00:26:18,950 --> 00:26:21,029
If it's not doing those things,

827
00:26:21,030 --> 00:26:22,909
you're going, well, why am I giving

828
00:26:22,910 --> 00:26:24,899
up my privacy just for this?

829
00:26:24,900 --> 00:26:26,799
So those are

830
00:26:26,800 --> 00:26:28,479
some of the things that we have to

831
00:26:28,480 --> 00:26:29,379
balance.

832
00:26:29,380 --> 00:26:30,599
You know, are we just doing it

833
00:26:30,600 --> 00:26:32,659
because it's convenient for a

834
00:26:32,660 --> 00:26:34,579
particular industry or convenient

835
00:26:34,580 --> 00:26:35,580
for police?

836
00:26:37,060 --> 00:26:38,299
So that's one.

837
00:26:38,300 --> 00:26:39,879
One of the thing I do want to

838
00:26:39,880 --> 00:26:41,779
mention that I

839
00:26:41,780 --> 00:26:43,599
think really quickly is

840
00:26:43,600 --> 00:26:45,439
there is an economics to

841
00:26:45,440 --> 00:26:47,339
this that is important

842
00:26:47,340 --> 00:26:48,480
for people to understand.

843
00:26:50,020 --> 00:26:51,999
There are agencies now

844
00:26:52,000 --> 00:26:53,869
that are sending calls

845
00:26:53,870 --> 00:26:56,029
sending drones to calls to

846
00:26:56,030 --> 00:26:58,029
assess the situation.

847
00:26:58,030 --> 00:26:59,889
Okay? And then once they

848
00:26:59,890 --> 00:27:02,389
assess it, they may decide to

849
00:27:02,390 --> 00:27:04,249
deploy police or- Isn't

850
00:27:04,250 --> 00:27:05,449
that safer?

851
00:27:05,450 --> 00:27:07,509
It can be.

852
00:27:07,510 --> 00:27:09,529
And all of these have very

853
00:27:09,530 --> 00:27:10,869
positive impacts.

854
00:27:10,870 --> 00:27:12,729
That's why it needs that

855
00:27:12,730 --> 00:27:14,229
scrutiny.

856
00:27:14,230 --> 00:27:16,069
However, you flip that

857
00:27:16,070 --> 00:27:18,089
over and do

858
00:27:18,090 --> 00:27:20,629
you start to say,

859
00:27:20,630 --> 00:27:21,890
well, it's cheaper.

860
00:27:22,950 --> 00:27:24,869
To have the drone do it,

861
00:27:24,870 --> 00:27:26,909
than to have police officers

862
00:27:26,910 --> 00:27:30,829
who have to pay insurance,

863
00:27:30,830 --> 00:27:32,729
salary, benefits, and all those

864
00:27:32,730 --> 00:27:33,669
other things.

865
00:27:33,670 --> 00:27:35,529
Now, those are major questions

866
00:27:35,530 --> 00:27:37,369
because we have grown accustomed

867
00:27:37,370 --> 00:27:39,329
to having human beings, and

868
00:27:39,330 --> 00:27:41,809
it should always be making decisions

869
00:27:41,810 --> 00:27:43,749
about arrest, who gets

870
00:27:43,750 --> 00:27:44,750
the citation,

871
00:27:46,150 --> 00:27:47,909
what are the mitigating

872
00:27:47,910 --> 00:27:48,899
circumstances?

873
00:27:48,900 --> 00:27:50,359
I want to know which one's going to

874
00:27:50,360 --> 00:27:52,099
give me the best intelligence.

875
00:27:53,160 --> 00:27:55,899
You may want to know

876
00:27:55,900 --> 00:27:57,059
who's going to give you the best

877
00:27:57,060 --> 00:27:58,959
intelligence, and I believe it's a

878
00:27:58,960 --> 00:27:59,960
police officer.

879
00:28:00,920 --> 00:28:02,879
The technology will give you that

880
00:28:02,880 --> 00:28:04,859
information, but the

881
00:28:04,860 --> 00:28:06,939
police officer will add those

882
00:28:06,940 --> 00:28:09,399
things that you can't

883
00:28:09,400 --> 00:28:11,309
ever add with that, you know.

884
00:28:11,310 --> 00:28:13,229
Yeah, but can a drone talk

885
00:28:13,230 --> 00:28:15,429
a person down from

886
00:28:15,430 --> 00:28:17,629
a hostage situation or

887
00:28:17,630 --> 00:28:19,889
whatever that circumstance

888
00:28:19,890 --> 00:28:21,309
is? I mean, there just has to be a

889
00:28:21,310 --> 00:28:21,710
human implement, right?

890
00:28:21,711 --> 00:28:23,639
There has to be a human element

891
00:28:23,640 --> 00:28:25,679
to be able to do those

892
00:28:25,680 --> 00:28:27,079
things. There has been a human

893
00:28:27,080 --> 00:28:29,559
elements to understand

894
00:28:29,560 --> 00:28:32,039
the context, to understand

895
00:28:32,040 --> 00:28:33,619
that human being, where they're

896
00:28:33,620 --> 00:28:35,419
coming from, to understanding a

897
00:28:35,420 --> 00:28:36,559
particular area.

898
00:28:36,560 --> 00:28:38,399
You can have someone,

899
00:28:38,400 --> 00:28:40,139
you can have people violating park

900
00:28:40,140 --> 00:28:42,379
laws every night and that drone

901
00:28:42,380 --> 00:28:43,979
will pick up on it and they'll say,

902
00:28:43,980 --> 00:28:45,119
this is a problem, you're violating

903
00:28:45,120 --> 00:28:47,179
that. What they may not know

904
00:28:47,180 --> 00:28:49,079
is that a

905
00:28:49,080 --> 00:28:50,539
store may have closed and this may

906
00:28:50,540 --> 00:28:52,639
be the only drug store

907
00:28:52,640 --> 00:28:54,359
open at night and people are

908
00:28:54,360 --> 00:28:55,779
violating that just to get to that

909
00:28:55,780 --> 00:28:56,779
drug store.

910
00:28:56,780 --> 00:28:58,639
So you do need

911
00:28:58,640 --> 00:29:00,539
human beings to assess

912
00:29:00,540 --> 00:29:02,919
these things because just

913
00:29:02,920 --> 00:29:05,079
because something is

914
00:29:05,080 --> 00:29:07,299
wrong, the criminal justice system

915
00:29:07,300 --> 00:29:09,439
may not always be the

916
00:29:09,440 --> 00:29:11,619
correct way to deal with it.

917
00:29:11,620 --> 00:29:13,359
And it takes judgment.

918
00:29:13,360 --> 00:29:14,959
That's why.

919
00:29:14,960 --> 00:29:17,299
That's why justice is

920
00:29:17,300 --> 00:29:19,519
not blind. Justice is blindfolded.

921
00:29:19,520 --> 00:29:21,419
That means that human beings

922
00:29:21,420 --> 00:29:23,379
have to do things to be

923
00:29:23,380 --> 00:29:25,719
able to make sure that justice is

924
00:29:25,720 --> 00:29:27,759
meted out in an equal and

925
00:29:27,760 --> 00:29:28,760
fair way.

926
00:29:29,660 --> 00:29:31,559
So that's why Lady Justice has

927
00:29:31,560 --> 00:29:33,439
that. That's the balance is there.

928
00:29:33,440 --> 00:29:35,299
You have to balance the scale with

929
00:29:35,300 --> 00:29:36,099
empathy.

930
00:29:36,100 --> 00:29:37,439
You have the balance of scale with a

931
00:29:37,440 --> 00:29:39,359
whole host of issues that

932
00:29:39,360 --> 00:29:40,959
someone is surrounded with.

933
00:29:40,960 --> 00:29:43,939
These are things technology can't

934
00:29:43,940 --> 00:29:46,129
do. And I don't think

935
00:29:46,130 --> 00:29:48,029
that we want a

936
00:29:48,030 --> 00:29:50,369
world right now where technology

937
00:29:50,370 --> 00:29:52,049
is making those decisions, just like

938
00:29:52,050 --> 00:29:54,009
no one wants a world that we're

939
00:29:54,010 --> 00:29:55,819
constantly being surveilled.

940
00:29:55,820 --> 00:29:57,699
Yeah, and speaking of the human

941
00:29:57,700 --> 00:29:59,519
influence on things,

942
00:30:01,260 --> 00:30:03,419
whose job is it to determine,

943
00:30:03,420 --> 00:30:05,599
you know, how these tools

944
00:30:05,600 --> 00:30:07,439
are implemented?

945
00:30:07,440 --> 00:30:09,319
Is it the law

946
00:30:09,320 --> 00:30:10,359
enforcement agency?

947
00:30:10,360 --> 00:30:11,719
Is it a community?

948
00:30:11,720 --> 00:30:13,499
Is it state officials?

949
00:30:13,500 --> 00:30:15,719
Whose job is to say,

950
00:30:15,720 --> 00:30:16,699
you, know, this is a good idea.

951
00:30:16,700 --> 00:30:19,059
We should have a robot that

952
00:30:19,060 --> 00:30:20,959
decides that, hey, camera one,

953
00:30:20,960 --> 00:30:22,459
camera two, those guys might do

954
00:30:22,460 --> 00:30:24,419
something suspicious in a month,

955
00:30:24,420 --> 00:30:26,059
and we need to be ready for it.

956
00:30:26,060 --> 00:30:28,379
Like whose job is it to choose

957
00:30:28,380 --> 00:30:30,379
where that kind

958
00:30:30,380 --> 00:30:32,259
of

959
00:30:32,260 --> 00:30:33,699
superficial technology is being

960
00:30:33,700 --> 00:30:34,700
used, I guess.

961
00:30:35,220 --> 00:30:37,259
I think it is the

962
00:30:37,260 --> 00:30:39,199
stakeholders of

963
00:30:39,200 --> 00:30:40,020
the community.

964
00:30:40,021 --> 00:30:41,059
Is that the people?

965
00:30:41,060 --> 00:30:43,039
That is the people,

966
00:30:43,040 --> 00:30:44,879
that is the ones that

967
00:30:44,880 --> 00:30:46,619
are the manufacturers, there's the

968
00:30:46,620 --> 00:30:48,919
civil rights leaders,

969
00:30:48,920 --> 00:30:50,999
there is government.

970
00:30:51,000 --> 00:30:52,979
But the distinction here is

971
00:30:52,980 --> 00:30:54,859
that government has to lead on this

972
00:30:54,860 --> 00:30:57,419
one, because we're talking about

973
00:30:57,420 --> 00:30:58,459
government issues.

974
00:30:58,460 --> 00:30:59,479
Well, some people are concerned

975
00:30:59,480 --> 00:31:01,359
about the government because they

976
00:31:01,360 --> 00:31:04,099
take the data and

977
00:31:04,100 --> 00:31:05,939
use it in ways that some of

978
00:31:05,940 --> 00:31:07,619
them don't even know about.

979
00:31:09,450 --> 00:31:11,409
And when government

980
00:31:11,410 --> 00:31:13,190
undermines trust,

981
00:31:14,390 --> 00:31:16,369
when they're not using it in a way

982
00:31:16,370 --> 00:31:19,209
of honesty, character,

983
00:31:19,210 --> 00:31:20,949
confidence, when you don't have the

984
00:31:20,950 --> 00:31:21,949
confidence and they're using it the

985
00:31:21,950 --> 00:31:23,869
right way, they've undermined trust.

986
00:31:23,870 --> 00:31:25,089
So Thank you.

987
00:31:25,090 --> 00:31:26,139
Bye.

988
00:31:26,140 --> 00:31:28,199
I'm not speaking to a government

989
00:31:28,200 --> 00:31:29,319
that is not working.

990
00:31:29,320 --> 00:31:31,039
I am being aspirational, talking

991
00:31:31,040 --> 00:31:33,599
about if a government is working,

992
00:31:33,600 --> 00:31:35,019
they should take the lead.

993
00:31:35,020 --> 00:31:37,139
They should bring people together.

994
00:31:37,140 --> 00:31:38,979
They should talk, they bring all of

995
00:31:38,980 --> 00:31:40,759
the key stakeholders together and

996
00:31:40,760 --> 00:31:43,219
decide these key points of

997
00:31:43,220 --> 00:31:45,099
privacy, of

998
00:31:45,100 --> 00:31:47,679
things like, you know,

999
00:31:47,680 --> 00:31:50,319
public safety, of trust,

1000
00:31:50,320 --> 00:31:51,719
of all of this. Cause all of those

1001
00:31:51,720 --> 00:31:53,349
things are right there.

1002
00:31:53,350 --> 00:31:55,149
You know, the cost-benefit analysis

1003
00:31:55,150 --> 00:31:56,989
of having a drone do it or

1004
00:31:56,990 --> 00:31:58,249
a person do it.

1005
00:31:58,250 --> 00:32:00,289
All of those things are key

1006
00:32:00,290 --> 00:32:02,389
to providing public safety

1007
00:32:02,390 --> 00:32:03,379
in this country.

1008
00:32:03,380 --> 00:32:04,559
I want to get this question here

1009
00:32:04,560 --> 00:32:05,720
before we wrap up.

1010
00:32:06,760 --> 00:32:08,119
I mentioned Big Brother earlier.

1011
00:32:09,220 --> 00:32:10,959
You know, I think people understand

1012
00:32:10,960 --> 00:32:13,179
that.

1013
00:32:13,180 --> 00:32:15,559
Yeah, we're always there's

1014
00:32:15,560 --> 00:32:17,239
a camera on us.

1015
00:32:17,240 --> 00:32:19,319
And it corners and grocery stores,

1016
00:32:19,320 --> 00:32:21,239
elevators, you name

1017
00:32:21,240 --> 00:32:22,219
it.

1018
00:32:22,220 --> 00:32:23,829
Is that a good thing?

1019
00:32:23,830 --> 00:32:25,869
I don't think so,

1020
00:32:25,870 --> 00:32:27,769
because for two reasons.

1021
00:32:27,770 --> 00:32:29,629
One, and I

1022
00:32:29,630 --> 00:32:31,689
know everyone has cameras,

1023
00:32:31,690 --> 00:32:33,509
it's not just government, but

1024
00:32:33,510 --> 00:32:34,649
I don't think it's a good thing,

1025
00:32:34,650 --> 00:32:36,869
because it creates an environment

1026
00:32:36,870 --> 00:32:38,709
where we assume

1027
00:32:38,710 --> 00:32:40,929
that people are wrong.

1028
00:32:40,930 --> 00:32:43,529
It creates a surveillance mentality

1029
00:32:43,530 --> 00:32:45,169
that people have to prove themself

1030
00:32:45,170 --> 00:32:46,309
right.

1031
00:32:46,310 --> 00:32:48,529
One of the major

1032
00:32:48,530 --> 00:32:51,089
principles of this country is

1033
00:32:51,090 --> 00:32:53,239
that you are right until

1034
00:32:53,240 --> 00:32:54,799
you are innocent until proven

1035
00:32:54,800 --> 00:32:55,839
guilty.

1036
00:32:55,840 --> 00:32:57,519
Under these circumstances, if you're

1037
00:32:57,520 --> 00:32:58,739
constantly under surveillance and

1038
00:32:58,740 --> 00:33:00,779
something comes up, you have

1039
00:33:00,780 --> 00:33:02,979
to prove yourself innocent.

1040
00:33:02,980 --> 00:33:04,819
If you show up

1041
00:33:04,820 --> 00:33:07,579
as a false positive on a camera,

1042
00:33:07,580 --> 00:33:09,299
and you were there, and you're a

1043
00:33:09,300 --> 00:33:10,999
false-positive, you're going to have

1044
00:33:11,000 --> 00:33:12,879
to proof that you didn't do

1045
00:33:12,880 --> 00:33:13,879
it.

1046
00:33:13,880 --> 00:33:15,779
And that turns

1047
00:33:15,780 --> 00:33:17,999
the whole dynamic of some things

1048
00:33:18,000 --> 00:33:21,339
that for 250

1049
00:33:21,340 --> 00:33:23,389
years, was important to

1050
00:33:23,390 --> 00:33:25,729
this country, and that's

1051
00:33:25,730 --> 00:33:27,669
shifting, that constant

1052
00:33:27,670 --> 00:33:28,670
surveillance.

1053
00:33:31,260 --> 00:33:34,339
And I also want to ask you,

1054
00:33:34,340 --> 00:33:35,359
what do you see as the biggest

1055
00:33:35,360 --> 00:33:36,360
threat to policing,

1056
00:33:37,860 --> 00:33:38,719
and what do you use to see as a

1057
00:33:38,720 --> 00:33:40,559
threat to the

1058
00:33:40,560 --> 00:33:41,820
community and how it's policed?

1059
00:33:43,730 --> 00:33:46,029
Biggest threat to policing is

1060
00:33:46,030 --> 00:33:48,429
if somehow we

1061
00:33:48,430 --> 00:33:49,710
cannot get.

1062
00:33:51,920 --> 00:33:53,799
The entire apparatus

1063
00:33:53,800 --> 00:33:55,759
of government to start working on

1064
00:33:55,760 --> 00:33:57,399
these issues.

1065
00:33:57,400 --> 00:33:59,299
Because the police will be left out

1066
00:33:59,300 --> 00:34:00,300
there hanging.

1067
00:34:01,460 --> 00:34:03,449
Because... The community will ask,

1068
00:34:03,450 --> 00:34:05,349
I need for you to keep my community

1069
00:34:05,350 --> 00:34:07,229
safe, but then when they keep

1070
00:34:07,230 --> 00:34:09,049
the community safe and they make a

1071
00:34:09,050 --> 00:34:10,948
mistake, then they're going to

1072
00:34:10,949 --> 00:34:12,509
say, well, you're using technology

1073
00:34:12,510 --> 00:34:14,329
too much.

1074
00:34:14,330 --> 00:34:16,189
So the police, as

1075
00:34:16,190 --> 00:34:17,649
the ones that are delivering the

1076
00:34:17,650 --> 00:34:19,888
service, that will be

1077
00:34:19,889 --> 00:34:21,789
on their, that will, they

1078
00:34:21,790 --> 00:34:23,649
will carry the burden of

1079
00:34:23,650 --> 00:34:25,549
having to deal with all of

1080
00:34:25,550 --> 00:34:27,509
these issues. So it's important

1081
00:34:27,510 --> 00:34:29,428
that if you have a

1082
00:34:29,429 --> 00:34:30,888
law enforcement agency in your

1083
00:34:30,889 --> 00:34:32,899
jurisdiction that you help them

1084
00:34:32,900 --> 00:34:35,238
and you pull together

1085
00:34:35,239 --> 00:34:36,988
these resources to do that.

1086
00:34:36,989 --> 00:34:39,029
What was the second question again?

1087
00:34:39,030 --> 00:34:40,468
What's the biggest threat to the

1088
00:34:40,469 --> 00:34:42,089
community that's being policed?

1089
00:34:42,090 --> 00:34:43,988
The biggest threat to

1090
00:34:43,989 --> 00:34:45,908
the community as being police

1091
00:34:45,909 --> 00:34:48,388
is that we

1092
00:34:48,389 --> 00:34:50,388
lose our faith

1093
00:34:50,389 --> 00:34:52,229
in humanity.

1094
00:34:52,230 --> 00:34:54,388
That we start to believe

1095
00:34:54,389 --> 00:34:56,209
that we live in a

1096
00:34:56,210 --> 00:34:58,329
society that everyone

1097
00:34:58,330 --> 00:35:00,029
is a criminal.

1098
00:35:00,030 --> 00:35:02,069
People commit crimes at a

1099
00:35:02,070 --> 00:35:03,989
very low rate when it's all

1100
00:35:03,990 --> 00:35:04,789
said and done.

1101
00:35:04,790 --> 00:35:06,909
We should not design

1102
00:35:06,910 --> 00:35:09,069
systems solely for the purpose

1103
00:35:09,070 --> 00:35:11,669
of catching people.

1104
00:35:11,670 --> 00:35:13,729
We should design systems for

1105
00:35:13,730 --> 00:35:15,969
keeping the community safe, albeit,

1106
00:35:15,970 --> 00:35:17,909
which is very important, but

1107
00:35:17,910 --> 00:35:20,089
we should also design systems

1108
00:35:20,090 --> 00:35:21,909
that do the right thing

1109
00:35:21,910 --> 00:35:23,909
and help people and

1110
00:35:23,910 --> 00:35:26,269
help communities stay safe while

1111
00:35:26,270 --> 00:35:28,298
maintaining the public trust.

1112
00:35:28,299 --> 00:35:29,559
Yeah, and I'm going to get you to

1113
00:35:29,560 --> 00:35:30,799
look into your crystal ball on this

1114
00:35:30,800 --> 00:35:31,859
one.

1115
00:35:31,860 --> 00:35:32,860
What is the future,

1116
00:35:34,020 --> 00:35:35,539
considering we're here now, but what

1117
00:35:35,540 --> 00:35:37,299
does the future of law enforcement

1118
00:35:37,300 --> 00:35:38,979
look like in terms of technology and

1119
00:35:38,980 --> 00:35:39,879
how it's being used? What do you see?

1120
00:35:39,880 --> 00:35:41,139
What's going to be the next big to

1121
00:35:41,140 --> 00:35:42,140
do?

1122
00:35:42,500 --> 00:35:45,199
That's a tough one because

1123
00:35:45,200 --> 00:35:47,079
just as I sit here, if I go

1124
00:35:47,080 --> 00:35:49,239
back three years, everything

1125
00:35:49,240 --> 00:35:51,799
that was related to technology has

1126
00:35:51,800 --> 00:35:53,419
just expanded like you would not

1127
00:35:53,420 --> 00:35:54,279
believe.

1128
00:35:54,280 --> 00:35:56,339
It is growing so rapidly.

1129
00:35:56,340 --> 00:35:58,219
We've got data centers

1130
00:35:58,220 --> 00:36:00,499
that are powering algorithms

1131
00:36:00,500 --> 00:36:02,439
that we could never imagine

1132
00:36:02,440 --> 00:36:03,440
before.

1133
00:36:04,340 --> 00:36:06,279
So it is hard to

1134
00:36:06,280 --> 00:36:08,659
predict what's going to happen, But

1135
00:36:08,660 --> 00:36:10,919
we must try

1136
00:36:10,920 --> 00:36:13,109
if we can.

1137
00:36:13,110 --> 00:36:15,629
Keep this human-centered.

1138
00:36:15,630 --> 00:36:17,149
Justice must be human-centered.

1139
00:36:18,540 --> 00:36:19,979
From one human to another.

1140
00:36:19,980 --> 00:36:21,379
No worry, thanks for stopping by.

1141
00:36:21,380 --> 00:36:23,049
Thank you very much.

1142
00:36:23,050 --> 00:36:24,050
I appreciate you.

