Do Not Resist Page #5

Synopsis: An urgent and powerful exploration of the rapid militarization of the police in the United States. Starting on the streets of Ferguson, Missouri, as the community grapples with the death of Michael Brown, DO NOT RESIST - the directorial debut of Detropia cinematographer Craig Atkinson - offers a stunning look at the current state of policing in America and a glimpse into the future. The Tribeca Film Festival winner for Best Documentary puts viewers in the center of the action - from a ride-along with a South Carolina SWAT team and inside a police training seminar that teaches the importance of "righteous violence" to the floor of a congressional hearing on the proliferation of military equipment in small-town police departments - before exploring where controversial new technologies including predictive policing algorithms could lead the field next.
Genre: Documentary
Director(s): Craig Atkinson
Production: Vanish Films
  2 wins & 3 nominations.
 
IMDB:
7.0
Metacritic:
69
Rotten Tomatoes:
89%
Year:
2016
72 min
$67,612
Website
239 Views


for that last police shooting.

Now we talk about the riots

that they had in Ferguson.

Well, shoot, when this country

was started on riots,

when they felt they

weren't getting justice.

You cannot keep treating

people the same way.

You have to deal with

your hiring practices,

who you putting in them uniforms,

because a badge is a powerful thing.

And sometimes it's like money,

it plays tricks on people's mind.

They think they're God.

And that's the truth, you know.

It's simple as that.

Thank you, Mr. Brown.

Members of the Task Force,

in the near future

body cameras will be as commonplace

in policing as sidearms,

handcuffs and portable radios.

As a police chief, I always feel

like I'm behind the curve

when it comes to technology.

Today we're talking about body cameras,

tomorrow we'll be talking

about something else.

Technology is moving at a pace where

laws can't keep up with it,

policies can't keep up with it.

License-plate readers,

most departments have that.

How long before

facial-recognition software

is now applied and as

you're driving down the street

you're scanning faces of people?

Just because you can do something

doesn't necessarily

mean you should do it.

And we need to have

these discussions upfront.

If a technology can implicate

people's civil rights,

then it's something that

we need to consider

quite carefully

before we simply fling

it into the field.

The FBI deployed

aircraft over Ferguson last year

in response to request

from local law enforcement.

Is that correct?

Yes, we've done it in Baltimore,

we did it in Ferguson, as I recall.

Does the FBI respond to these

types of requests frequently?

The overwhelming use of our aircraft is

a pilot flies as part

of an investigation

to help us follow a spy,

a terrorist or a criminal.

And sometimes, the best

view of that is above.

I spent 20 years in the Air Force.

I built a system called "Angelfire"

that allowed us to watch

the entire town of Fallujah,

for two years.

We could watch the whole city,

see where everyone

came from and went to,

and that contributed significantly

to the reduction in

violence in the city.

When I retired,

I basically said "You know this

has a lot of applications."

"How do we make it affordable."

"For a group the size of,

like, Dayton, Ohio?"

Our imagery is processed

on board the aircraft,

made to look just like Google Earth,

downlinked in about

three to five seconds,

and is available to be viewed

by up to 50 people at once.

Literally, you could have the

equivalent of a predator drone

for every analyst on the ground,

just not quite as high resolution.

If you're at the scene of a crime,

we draw a little circle around it.

We figure out "Here's the people

that are within that range."

"That may or may not

be involved in it."

We'll track all of them and see

what information we can find.

We're really just rolling

this out in a more public way.

Traditionally, we've

worked with small groups

in a quiet, secretive way

because that's what

our customers wanted.

We've been operating in different cities

at different times, typically ones that

are having significant crime problems.

In some of the cities,

we'll see 30 to 40 crimes a mission,

and then it's a question of how many

of them do we have time to investigate.

And again, as the city gets safer,

we'll actually be able to investigate

lower and lower level crimes.

This is an engineer's

version of an eyeball

with the globe in the middle.

And it basically implies

that you know, "We're watching

the whole world" type of thing.

We're not out to watch the whole world,

just all the world that's got crime.

Okay, what I'm engaged in is

forecasting what we call "malfeasance,"

which is various kinds of behavior

which may be illegal,

but certainly undesirable.

You get background information

on an individual from

an archival data-set,

and you push a button,

and you get a forecast.

Pretty good chance

this a low-risk person,

almost no chance they're

gonna commit a violent crime.

They may do some shoplifting

or maybe some drug possession,

but chances are they're gonna be fine.

So here's another individual.

Bad guy.

Certain to be arrested for something,

most likely a violent crime,

but at least some other kind of crime.

If somebody is really unique,

this doesn't work.

But we all think we're

unique and we're not.

So we have lots of commonalities.

And on the average,

we can forecast pretty well.

There are concerns

about these techniques

and they're legitimate.

Race, of course, is

the most obvious one.

The obvious point is you really

shouldn't be using somebody's race

to forecast whether or not

they're going to commit a crime.

Well, it's a balance.

If it were to turn out that

race is an important factor,

let's say in predicting homicides,

and race is associated with homicides.

People generally kill

people like themselves.

Maybe you do want to use race.

If we don't use race,

you're gonna have an increase perhaps

in homicides you could have prevented.

How many deaths, five, ten, fifteen,

are you prepared to allow because

you won't allow me to use race?

Have you guys been

watching Person of Interest?

You ever watch that?

It's some secret computer

that one man has developed

that predicts crime before it happens.

Why not, you know?

Why not predict something?

If you have everything

you need in the equation,

I don't see why it couldn't

be predicted, at some point.

So...

Right now, the car that you're in,

we have a camera system,

and we also have a system where

it's a facial-recognition

system,

license-plate

recognition system.

It scans the streets

and it can look at a

license plate and tell you

if that car is wanted for a crime.

Let's see if I can get

it to do that here.

There you go.

So right there,

all the different licenses,

and it scans, like that

is that car right there.

And then also people on the street,

if they can get the face clearly,

facial recognition.

If that person has a warrant,

wanted, that type of thing.

And if you're out in public,

there's no expectation of privacy,

and that's the huge issue, people said,

"You can't just run my license

plate for no reason."

Well, yes, we can.

You just hope that

everybody who runs them

are running them for the right reason.

We are a 24/7 operation

providing support and

information processing

for the entire department.

We also share our services

to the entire region and

the federal government.

We're monitoring, for example, cameras.

We have about 1,000 cameras

in the city of Los Angeles.

Additionally, we monitor

all social media.

We have police officers

who are going through

all the social media,

looking for key words

to find out if there's

any incidents occurring,

any protests or anything

that may affect the city.

I don't think it's going to be a phase

for technology in policing.

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