184 baris pertama.
Previously onBull...
You want to rent out the algorithm?
To bring in revenue, shore up our finances? Yes.
What I don't need is somebody going behind my back.
I've been in front of you the whole time.
You just refuse to see me.
You okay?After Benny left,
I thought he would offer me this office.
One of the firms circled back
and asked me if I would work for them in-house.
And what did you say?
I am considering a Plan B.
Gun!
Don't go out there!
NYPD. Police officers.
NYPD. Stay back.
Stay back. Go back inside.
84 Adam to Central.
Ten-85.
Shots fired. Repeat, shots fired.
Suspect is down. Need a bus ASAP.
Copy that.You see the money?
Nothing.
Well, it's-it's got to be here. Check again.
Where's the money?
Did we get the wrong guy?
His name's Corey Rice.
Had a job as a security guard,
and he was on his way to work when the cops came after him.
They were looking for a guy
who was robbing check cashing stores.
How'd they end up targeting him?
The NYPD uses a facial recognition software
made by a company called Viridipoint AI.
They ID'd Corey as the robber
from some security camera footage,
and the cops went to arrest him. Okay.
He didn't have anything to do with the robbery?
They found that out after he was dead. Yeah.
The city settled with his mother for $2.5 million.
Wow.
That's gonna be inadequate next to the loss of her son.
Yeah.
If she's settled, what does she want with us?
Corey was my rock.
Cancer took his father.
I've seen firsthand what can happen to a boy
when his father is taken from him.
My Corey decided just to grow up, then and there.
13 years old, acting like it was his job
to take care of me.
Sounds like he was a fine young man.
He was studying criminal justice at John Jay.
He wanted to be one of them,
and they shot him.
They shot my baby.
Mrs. Rice,
obviously, what happened to your son
was a tragedy.
But since you accepted a settlement from the NYPD,
what is it you'd like for us to do?
That settlement's blood money as far as I'm concerned.
I'll never touch a penny of it for myself.
I'm going to use it to make sure no other mothers
lose their babies
because they were misidentified.
Let me show you something.
This is the mugshot
of the man who was ultimately arrested
for robbing those stores.
Doesn't look anything like Corey.
Their complexions are different.
He's, like, ten years and 20 pounds off.
And this is the photo
from the security camera
from the robbery.
Somehow, when this image was uploaded into Viridipoint's
facial recognitionprogram,
it gave the police my son's name.
Viridipoint sent
armed men to hunt my child like an animal.
So, you want to sue Viridipoint for wrongful death?
They put a target on my son's back.
I want them held accountable.
Mrs. Rice, I hear you, but we'd be asking
a jury to assign blame to someone
after another party effectively
accepted responsibility by paying you
a financial settlement.
I know it'll be a fight.
I'm afraid it's more than that.
If we win,
then the settlement's just gonna be about money--
blood money, as you put it.
If I hit them where they live,
cost them enough,
maybe they'll think twice
before they let the cops use their software.
They'll change their ways
before another innocent man is killed.
Corey's death has got to mean something.
It's got to.
You don't like this case, do you?
Well, we got to convince a jury that a bunch of coders
are liable for a killing they didn't take part in,
witness, or even know about.
I know it's gonna be a difficult case,
but don't you think that this company bears
some responsibility?
I don't care if it's difficult.
I care about getting this mother what she needs.
What's that mean?She's in pain.
She wants to avenge her son's death.
Civil litigation is not gonna get her what she wants.
It's the only way I know to help her.
I understand that, but $700 an hour attorney
hammering out another settlement for her, that's just...
not gonna bring her joy.
Wait a second.
What's going on there?
Is that Marissa having a sit-down with Bradley Lena?
Looks like it.
He just won that big
gender discriminationlawsuit.
Did she tell you she was meeting with him?
Well, she said she was meeting someone.
She didn't say it was him.
That was a very lawyerly response.I'm a lawyer.
So, she said she was meeting someone, but she didn't say...
I didn't say it like that, Bull....it was Bradley Lena?
I'm gonna find out what's going on.
She was a kid.
Hey!
Oh. Bull. Hi.
Uh, Bradley, this is...
Jason Bull. How are you?
Uh, by the way, congrats on that big win.
Couldn't have happened to a nicer oil company.
Well, thank you, uh...
You know, you take some cases for the principle,
you take some for the payday.
Sometimes, you win the lotto and get both.
So, what's going on?
You guys discussing a way our shops can team up?
Actually, I was interested in learning more
about TAC's jury algorithm.
We have a different approach to voir dire,
and Ms. Morgan agreed to talk me through yours.
Really?
Uh-- No. Thank you for trying.
You don't need to lie for me.
We're here to talk about a job.
Oh. What kind of case is it?
No. A job.
With Bradley.
For me.
Oh.
Facial recognition works by making a map of the face
and measuring certain features:
the space between the eyes,
the distance from the chin to the nose.
Then it runs the results through databases
looking for a match.
It's a highly sophisticated tool, but, as we've seen
from Corey Rice's tragic case, it's not always accurate,
and, unfortunately,
these systems often misidentify the faces of people of color.
Yeah, well, black and brown folks been catching hell
while companies like V-Point
have been cashing in.
It's the same song. It's a different verse.
I think this is on those cops.
All they had to do was look at Corey Rice
before they opened fire.
Instead, they were cowboys, and they came in hot.
That's what the other side's gonna say.
And what are we saying?
We're saying that V-Point was negligent,
which led the cops to target Corey,
convinced that he was the man that they wanted.
V-Point lied, and Corey died.
Well, it has a ring to it. Can you prove it?
We're gonna try.
If we can prove that their software isn't as accurate
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