-
preroll music
-
Herald: Welcome Jeff with a warm applause
on stage. He works for Tactical Tech
-
applause
-
and will talk about a bias in
data and racial profiling
-
in Germany compared with
the UK. It’s your stage!
-
Jeff: Right. Thank you! Yeah, okay!
-
My presentation is called
“Profiling (In)justice –
-
– Disaggregating Data by Race
and Ethnicity to Monitor
-
and Evaluate Discriminatory Policing”.
In terms of my background:
-
I’ve done research, doing
mostly quantitative research
-
around the issues of racial
discrimination for a long time.
-
In New York, at the Center for
Constitutional Rights I was working on
-
looking at trends and levels of
-
use-of-force by police against civilians,
and also on stop-and-search
-
against civilians. And then more
recently for the last 18 months or so
-
I’ve been working as a research
consultant at Tactical Tech,
-
looking at issues of data politics and
privacy. So this is kind of like a merger
-
of these 2 areas. In terms of what this
presentation is gonna be about:
-
there’s gonna be 3 takeaways. First, that
-
we’re dealing with the issues of privacy
and also [freedom from] discrimination.
-
And both are fundamental human rights.
But there’s tension between the two.
-
And important questions to think about
are: “When do privacy concerns exceed
-
or take precedence over those of
discrimination, or vice versa?”
-
Two: That data is political, both in the
collection and aggregation of data;
-
but also in terms of having the
categories of being created.
-
And then, three: That data ethics are
a complex thing, that things aren’t
-
so black-and-white all of the time.
So what is racial profiling?
-
The term originates from the US.
-
And it refers to when a police officer
suspects, stops, questions, arrests or…
-
you know, or… at other stages (?)
of the communal justice system
-
because of their perceived
race or ethnicity. After 9/11
-
it also refers to the profiling of Muslims
or people perceived to be Middle Eastern.
-
And in German there is no direct translation,
so the term ‘Racial Profiling’ (quotes)
-
is used a lot in parliamentary hearings
and also in court documents.
-
So the problem that we’re gonna talk
about is that because of the lack of data
-
in Germany there’s no empirical
evidence to monitor and evaluate
-
trends in discrimination.
This is creating problems
-
for both civil society in terms of looking
at these levels and trends over time,
-
but also from an individual perspective
it becomes difficult for people
-
to file complaints. In Germany the only
way to file a complaint officially
-
is to go to the police department,
which introduces power dynamics,
-
you know, challenges and additional
barriers. But also if you’re an individual
-
you have to show that there’s a trend,
right? That you are part of another,
-
a long standing story. And without this
data it becomes difficult to prove
-
that that’s happening.
So what we’re needing,
-
or what some people are calling
for, is having this data
-
at a state and a sort of national level.
And this ratio that I’m putting here,
-
referring to policing, is looking at the
rate at which people are stopped
-
over the census figure of the
demographic share of the population.
-
And you really need both; the first
being on the police side and
-
the second being on the census. So
that, you know, if you only have one,
-
if you only have the rate at which police
were stopping people then you actually
-
can’t see if this is discriminatory or
not. And if you only have the census
-
then you can’t see that, either.
So you really need both.
-
The European Commission, the International
Labour Organisation and academics are all
-
calling for these… the creation of
standardized and comparable data sets.
-
And I’m not gonna read these out,
but I can go back to them later
-
if you’re interested. But what I’m gonna
talk about is comparing the UK
-
to that of Germany. So in Germany,
-
in 1983 there was a census; or there
was an attempt to making a census.
-
But due to wide-spread resentment
and disenfranchisement,
-
fears of surveillance and lack of
trust in state data collection
-
there was a big boycott. Or people
deliberately filled in forms wrong.
-
In some cases there were even
bombings of statistical offices.
-
Or people spilled coffee over census
forms to try to deliberately ruin them.
-
As a couple of other presentations at the
conference have already said
-
this was found to be an
unconstitutional census.
-
Because of the way that
they were framing it.
-
Comparing the census to
household registrations.
-
And so the census was delayed until 1987,
-
which was the most recent census until
the most recent European one in 2011.
-
This Supreme Court decision
was really important
-
because it established this right
for informational self-determination.
-
Very important for privacy
in terms of Germany.
-
You know, until today. So what kinds
of information is being collected?
-
In Germany we have pretty standard kind
of demographic information things
-
like gender, age, income, religion. But
what I want to talk about in particular
-
is country origin and country citizenship.
-
Which are used to determine a person
of migration background. And
-
this term ‘person of migration background’
generally refers to whether you,
-
your parents or your grandparents
– the first, second or third generation –
-
come from a migrant background. Right, and
-
this term is used oftentimes as a proxy
for ethnic or for racial diversity in Germany.
-
And this is problematic because
you’re using citizenship as a proxy
-
for looking at racial and ethnic identity.
And it also ignores the experiences
-
and identities, the self identities
of people who don’t fall into
-
this ‘first, second or third generation’,
right? People who may identify
-
as Black German, let’s say. But
of fourth, fifth or sixth generation.
-
They’re just ignored in this
data set. So they fall out.
-
Also, it’s difficult to measure these at
a national level because each state
-
has different definitions of what
constitutes a migrant background.
-
So we don’t have this at a national level
but also within states there’s no way
-
to compare them. Of course, not
having that data doesn’t mean
-
that there’s no racism, right?
And so in 2005 e.g. we see
-
that neo-Nazi incidents have increased 25%
-
– the NSU case coming out but still
going on in court proceedings.
-
The xenophobic attacks but also the way
in which these crimes were investigated
-
– at a state and at a federal level –
and the way that it was botched,
-
in addition to showing that
racism now in general
-
is at a higher rate than it has been for
the last 30 years. And much more recently
-
seeing the rise in arson attacks on
refugee centers. There’s been
-
over 200 attacks this year so far.
You know, all of these showed
-
that not collecting this data doesn’t
mean that we don’t have a problem.
-
So, the UK by comparison: In 1981,
there was the Brixton riots,
-
in an area of London.
And these arose largely
-
because of resentment towards
the way that police were
-
carrying out what they called ‘Sus Laws’.
Or people being able to be stopped
-
on suspicion of committing
a crime, carrying drugs,
-
having a weapon etc. and so forth.
And so in the aftermath of the riot
-
they came up with this report called the
‘Scarman report’. And this found
-
that there is much disproportionality in
the way that Police were carrying out
-
their stop-and-search procedures.
So for the first time this required…
-
or one of the reforms that was
instituted was that UK Police started
-
to have to collect data on race
or ethnicity during the stops.
-
When they stop a person they have to start
collecting this data. And then you have
-
a baseline that’s being established.
Around the same time in the UK
-
we have the 1981 census.
-
And in society they were having
a lot of debates around
-
whether or not they wanted to have this…
-
collecting this baseline national level
(?) figure, because we need these 2 things
-
for this ratio in order to monitor and
evaluate levels of discrimination.
-
But, you know, there was
a lot of opposition to this.
-
And many found it to be (quote)
“morally and politically objectionable”.
-
But not for the reason you’d think.
People found objections to it
-
not because of asking these question,
but because of the way that the question
-
was phrased, with the categories that
were being used. And they did surveys
-
between ’75 and about ’95, and found that
-
among marginalized communities
and in minority ethnicity groups
-
there was actually a lot of support
for collecting this kind of data.
-
They just wanted to have it phrased to
be different. And so ’91 they started
-
to collect the data. They put this
‘race question’ in. And here I have,
-
in 2011 – the most recent census –
some of the kinds of categories
-
that they wanted to also include.
And they’ve changed over time.
-
So e.g. like ‘White Irish people’ felt
that they also were discriminated against.
-
And they experienced things differently
than white British people, e.g.
-
So having things broken down
further would be helpful for them
-
in terms of highlighting discrimination
that each specific demographic faces.
-
So around that time ’91, ’93 we
have the murder of Stephen Lawrence
-
in an unprovoked racist attack. Nobody
was ever convicted of that. But
-
what’s important is that we have this
‘Macpherson report’ that came out.
-
And it developed a lot of recommendations,
70, and most of them were adopted.
-
One: to be collecting this at a national
level, and to be comparing these.
-
In 2011 they stopped mandating
that you had to collect this data,
-
at a national level. So none of the
data from then going forward
-
can actually be trusted. Some
forces continued to do it,
-
but not all of them. So you can’t actually
compare them between forces.
-
In the same year we have these London
riots. The Guardian and LSE put out
-
a report called “Reading the Riots”. Where
they did a lot of interviews with people
-
who participated. And they found that
most of the people who participated
-
had feelings of… that they
were mistreated by Police.
-
Or that there is racial discrimination
in terms of the policing practices.
-
That they weren’t being
treated with respect.
-
So to put some data to that:
Before this was removed
-
there… it was 2 different types of
stops in the UK. Those PACE stops,
-
where you stops with reasonable suspicion.
-
And among that you have e.g. black people
stopped at 7 times the rate of white people.
-
Asian people – Asian referring to (?)(?)(?)(?)
Southeast Asian in the UK –
-
at twice the rate. And ‘Section 60 stops’:
where you don’t have to actually have
-
reasonable suspicion. And when you don’t
need to have that you have much, much
-
higher rates. 26.6 times the rate of white
people black people are being stopped at.
-
But the State Department even coming
out and they’re saying: “There’s
-
no relationship between criminality
and race… criminality and ethnicity”.
-
In fact it’s like: If people are being
stopped at these rates it’s…
-
it’s in the wrong direction. You have
white males in particular who are
-
fending at higher rates. Who are using
drugs at a higher rate. Who are
-
possessing weapons at a higher rate.
But that’s not who’s being stopped.
-
There is a connection though between
race and ethnicity and poverty.
-
So you can see here, they call it like
BAME groups, or ‘Black, Asian and
-
Minority Ethnicity’. And you can see
that among like wealth and assets:
-
it’s much, much lower for non-white
households. Unemployment rates
-
are much higher as well.
Income is much lower.
-
So I like making maps. And I think
maps are really cool. ’Cause you can
-
tell stories when you overlay a lot
of data with it. So on the left
-
I put by different borough in London
where people are actually being stopped.
-
Per 1,000 people in 2012.
And on the right I put
-
where the crime is actually occurring.
And this is coming from UK Police.
-
And so you can see that where people
are being stopped isn’t exactly
-
where the crime is actually happening.
And if you’re seeing this stop-and-search
-
as a crime preventing tactic then we
have to question why this isn’t lining up.
-
Going back to this ratio:
-
earlier I mentioned like – having the rate
at which one group is being stopped
-
over that share of the total population.
-
And we can take it a step further
and we can compare that to…
-
between different demographic groups.
-
And when using census figures
combined with police figures,
-
we can do things like looking on the left.
I mean this disproportionality ratio,
-
so the rate at which black groups
as a share are stopped
-
versus the total population, compared
to white groups are stopped.
-
And you can see the darker areas
is where you have a higher rate.
-
So when we’re talking about those
‘7 times, or 26 times more likely’
-
these are those areas that we’re
talking about. And so the darker areas:
-
you can see that when compared to poverty,
-
people are stopped… there’s
greater disproportionality ratios
-
in wealthier areas than there are in
poorer areas. And this is kind of
-
a way, you could say, almost
of perceiving people of colour
-
as others who shouldn’t belong in
these areas. It’s also… you can…
-
when combined with other census
information you can see that you have
-
more discrimination, you have more
disparities in areas that are more white
-
and also less racially diverse.
-
So this is kind of all on the
same kind of a message.
-
But if it works fine? – It doesn’t.
UK Police is saying that
-
at most they have a 6%
arrest rate of all stops.
-
And arrests are not conviction rates.
-
Looking for weapons we have like less
than 1% of a positive search rate.
-
And the European Human Rights
Commission e.g. has called for reform
-
of these practices. The UN has called
for reform of these practices.
-
And they instituted like
a reform that called for
-
having a 20% arrest quota. And so that
could either go positively or negatively.
-
Making a higher quota means that you
could be just arresting more people
-
that you’re stopping. More likely, or
hopefully it means that you have
-
a higher justification or grounds
for stopping a person.
-
So these are the kinds of things you can
do in the UK, with these kinds of data.
-
In Germany, you can’t. But I wanna
highlight there’s this one case
-
in Koblenz in 2010.
There was a student of…
-
unnamed, black student who
is stopped travelling on train,
-
and who was asked to show his ID.
And he refused. And he said: “No,
-
I’m not gonna do that. This is
reminiscent of Nazi era tactics”.
-
And so he was charged with slander.
And he was brought into court.
-
And the police officer, when it
was in court, said, (quote):
-
“I approach people that look like
foreigners, this is based on skin colour.”
-
And so this is for the first time
the police have admitted that
-
their grounds for doing immigration
related stops are based on
-
perceived race or ethnicity.
The judge sided with the police.
-
That this was good justification,
like it was good grounds.
-
But a higher court ruled
that that wasn’t the case.
-
They said: “Yeah,
this is unconstitutional,
-
you can’t actually do it,
it violates the constitution.”
-
No person shall be favoured or disfavoured
because of sex, parentage, race,
-
language, homeland, origin,
faith, religious… etc.
-
Just as a side note there’s been a large
movement to remove this term ‘race’
-
from that part of the constitution
since it’s been put in.
-
And also the court dismissed the slander
charge. They said: “No, this student…”
-
like he’s actually able to critique
the police, you know, in this way.
-
But after we have the response
by the police union,
-
the head of the police union
at the time, who said (quote):
-
“The courts deal with the law in
an aesthetical pleasing way, but
-
they don’t make sure their judgments
match practical requirements”.
-
And so what this means is: we see
that according to the police union
-
– this isn’t official response, but this
is from the Police Union itself –
-
they say that we need to
profile. We need to do this.
-
Or else we aren’t able to do
immigration related stops.
-
That’s crazy. They also…
I mean, at the same time
-
when they were doing these parliamentary
hearings they institute these mandatory
-
inter cultural trainings for police
officers. And these are kind of
-
like a one-day training where
you go and learn all about
-
how to deal with people from different
cultures. But in some of the interviews
-
that I was doing they said: “Okay, well,
this isn’t an inter cultural issue.
-
This is a racism issue”.
-
People aren’t just coming from other
places. These are Germans,
-
these are people who grew up here. These
are people who live here. Who know
-
how to speak the language.
Who were born and raised…
-
And we need to be dealing
with this in a different way.
-
However, in this time, we see that
racial profiling has become part of
-
the national conversation. And so this
is the sticker that somebody put up
-
in Berlin, in a U-Bahn.
It says: “Attention…,
-
we practice RACIAL PROFILING while
checking the validity of your ticket”.
-
It’s not real, but it looks…
I think it’s kind of cool.
-
When they were doing this in
these Bundestag hearings…
-
they released data for Federal Police
for 2013. This is the first time
-
that we have any data that’s released.
No data has ever been released
-
based on State Police stops.
They say that they’re not actually
-
collecting the information, so they
don’t have anything to show. Of course
-
the figures that are released from the
Federal Police are not disaggregated
-
by race and ethnicity.
But what does this actually show?
-
So, most of the stops,
over 85% are border stops.
-
Border being within ca. 30 km
of the German border.
-
So this is actually taking into account
most of the German population.
-
But if we’re doing these immigration
related stops then… if we break it down
-
by offense – in the last two, these are
the immigration related offenses
-
that people are committing – and
we have less than, at most,
-
maybe 1% of people who
are found to be a positive,
-
meaning that they’re found to be violating
some kind of offense. It’s – again,
-
it’s not a conviction, right?
And people can challenge this.
-
E.g. like you don’t have to have your
ID on you in all times. You can
-
present it later, and the
charge can go away.
-
But if we have such low
rates of positive searches
-
then like why is this happening? Why
do we feel that with such good data,
-
and knowing, as good researchers,
why are we continuing this as a practice?
-
On one of the other interviews that I was
doing they found that okay well:
-
You know, we know this is ineffective.
But this has the effect of criminalizing
-
our communities. And
whether or not this is true
-
is an argument for why we should maybe
have this kind of data to show that
-
this is or is not actually occurring.
Of course, European Commission
-
against racism and intolerance and the UN
have said: “Well, even among this at most
-
1% positive rates these are
not being distributed evenly, and
-
you have people of certain groups that are
being stopped at rates higher than others,
-
particularly black and other
minority ethnicity groups.”
-
Okay, so, going back, why…
into the initial question…
-
If we have both freedom from
discrimination and the right to privacy
-
as these human rights how
do we address this tension?
-
And how do we make sure that we’re
making the right decision in terms of
-
which takes precedence? And so I came…
or I’ve thought of 3 different reasons
-
why this isn’t happening. The first
being a series of legal challenges.
-
Things that are preventing
us from implementing this
-
from a legal basis. And the first…
you know there’s 3 exceptions
-
that would allow for this
data to be collected.
-
(1) The first being if there’s a provision
in EU directive that calls for collecting
-
this kind of a data. And within that
(2) if you have the consent of the person
-
the data is subject, let’s say.
Consent is kind of a difficult thing
-
and we could have a whole conversation
just about that on its own.
-
If you’re being stopped by police officer
to what extent can you actually consent
-
to the data that’s being collected?
But this is put in place
-
as one of the mandatory
legal requirements.
-
Or (3) if there’s an exception in
the hopefully soon to be finalized
-
EU Data Protection law that
allows for collecting data
-
if it’s in the public interest. So you
could argue that we need to be collecting
-
this data because monitoring
and evaluating discrimination
-
is a problem that we need
to solve as a society, right?
-
Two: As a lot of people here at
the conference are talking about:
-
there’s a lot of distrust in terms
of collecting data by the state.
-
Particularly sensitive data. But I mean
as many of us are already aware
-
this data is already being collected. And
this doesn’t mean that we should maybe
-
collect more just for the
sake of collecting data.
-
But in terms of sensitive data –
-
we’re collecting things also like medical
data. And medical data sometimes
-
is interesting for looking at trends
in terms of the illnesses,
-
and where illnesses spread. And you can
look at this as also possibly a way of
-
using sensitive data for highlighting
and monitoring public problems.
-
And, (3), we have these
challenges in determining
-
which kind of categories
we should put in place.
-
But, like the UK, if something
were implemented in Germany
-
I feel as though this would change over
time as other groups also want their data
-
to be collected… or not!
-
So that’s kind of where
I’m at. I think that
-
there are no easy answers in terms of
whether we should or should not do this.
-
But I think that at the very least
we should be starting to have
-
these conversations. And I think that
it’s important to start having these
-
conversations with communities
themselves who are being targeted,
-
or feel they’re being profiled.
So, thank you!
-
applause
-
Herald: It was an awesome talk. I think
there might be 5 minutes for questions.
-
There are mics over there and over
there. And whoever has a question,
-
like in the front rows,
I can come walk to you.
-
Question: Thank you very much.
I’m just wondering in terms of…
-
are you sort of creating this…
-
Jeff: I’m sorry, I can’t hear you…
-
Question: Sorry, of course… I’m sort
of curious in terms of how you’re
-
creating the disproportionate demographics
where there will be birth, including
-
other kinds of information, such as sex,
age, time of day they’re stopped.
-
Because there’s possibly
unemployment bias as well…
-
Jeff: I’m sorry, I still can’t
actually hear you.
-
Question: Sorry… whether it’d be
worth including, say, other details
-
about people, such as their sex, their
age, maybe the time of day that
-
these stops are happening. As there may
be a bias towards the unemployed.
-
If that’s possible, do you think,
with the UK census data?
-
Jeff: So you’re asking: Do I feel as
though we should also be including
-
other kinds of demographic data?
Yeah. I mean I do, but I think that
-
I shouldn’t be the one who’s deciding how
to implement these programs. And I think
-
that we should be speaking with
the communities themselves
-
and having them give their opinion. So if
this is something that those communities
-
who feel that they’re being targeted
or being discriminated against
-
want to include then I think that they
should be taken into account. But
-
I don’t know that I should be
the one who’s deciding that.
-
Herald: Okay, next question
over there, please.
-
Question: To this ratio you’ve been
talking about: So you compare
-
census data to – as you
said in the definition
-
in the first slide –
perceived ethnicity or race.
-
So it is an attribution of the
persons themselves in a census
-
compared to attribution per
police officers. And those
-
won’t necessarily match, I’m not
sure. So I was just wondering
-
whether you could comment on
that a bit. And this is related
-
to the second question when it comes
about: We don’t get this data
-
maybe from the police, because it’s
difficult for the state to collect it.
-
But maybe we could get the data from
those which suffer from discrimination
-
in the first place. So do you see any
possibility for public platforms…
-
So I was reminded of this
idea from Egypt, HarassMap (?)
-
which is about sexual harassment
of women. That just made visible,
-
with maps, similar to what you do,
actually where this happened,
-
when this happened, and how this happened.
But it’s been the people themselves
-
speaking out and making this
heard. And I was wondering
-
whether that may be another source of the
data you would be needing for your work.
-
Jeff: So the first question was talking
about whether we should be using
-
‘self-identified’ vs. ‘perceived’,
right?
-
Yeah, I mean they may not line up, right?
-
People can be perceived in a way
different than they identify.
-
Some groups in Germany
are calling for both.
-
They’re calling for kind of like
a two-ticket mechanism
-
where you have people who
put how they self-identify
-
and also how the Police are identifying
them. If we’re looking for patterns
-
of discrimination then it may actually
be more interesting if we’re looking at
-
how people are perceived.
Then, how people self-identify.
-
But I think it’s important to take both
into account. And for the second question,
-
I’m sorry, I kind of forgot what that was.
-
Question: Like asking the
people themselves for data
-
when they suffer from discrimination
or [are] being stopped more.
-
Jeff: Yeah, no, I mean I think that’s a
great idea. And there was a survey
-
that was actually just done,
that was doing just that!
-
The findings haven’t been released,
but it just finishes up. And it’s looking
-
at different types of experiences of
discrimination that people are having.
-
There’s also organisations like
social worker organisations
-
that have been collecting
this data for a long time.
-
Having hundreds and hundreds
of cases. Yeah, thanks!
-
postroll music
-
Subtitles created by c3subtitles.de
in the year 2016. Join, and help us!