Last Wednesday, June 10, the tech giant Amazon announced that it
was banning police agencies from using its face recognition technology
Rekognition for a year. The company gave
no official reason for its timing, although it comes less than two weeks after
the death of George Floyd at the hands of the Minneapolis police force.
Critics have charged that face recognition technology in
general, and Rekognition in particular, has biases when it comes to race or
gender. According to an Associated Press
report, in the past Amazon has defended its software against the results of
studies by MIT researchers who showed that such software marketed by Microsoft,
Amazon, and IBM sometimes made mistakes that put darker-skinned people and
women at a disadvantage. (Microsoft and
IBM pledged to address the deficiencies as a result.) Amazon's product is a fairly minor player in
a field that includes products from Japan and Europe as well, which many police
agencies use. Both Amazon and other
producers have called for federal regulation of face recognition technology
amid concerns of abuse and bias.
Another portion of the human anatomy has been used for
identification by police and security agencies for decades, largely without
recent controversy: the unique patterns
on fingertips. But at least so far, fingerprints
cannot be sensed remotely, and taking them usually requires the cooperation or
at least physical contact with the individual being examined. With the proper optical technology, one can image
a face from a distance of a kilometer or more, leading to the possibility of
mass identification in crowds with software that can unambiguously connect
faces to persons.
Speaking from an engineering ethics viewpoint, we can identify
the parties in this controversy as follows.
There are the firms that make face-recognition technology. There are the customers and potential
customers for such technology, which include but are not limited to
law-enforcement agencies, governments in general, and also private firms
wanting to make personalized advertisement appeals, for example. There are regulatory agencies with the
potential ability to regulate such technology.
And then there is the general public, a subset of whom are criminals,
but the vast majority of whom are just ordinary people trying to live their
lives in these lately rather extraordinary times.
The dangers of misusing face-recognition technology are many,
even if it works perfectly. In China,
for example, it is already being used in combination with other techniques to
monitor movements and activities of the general public in what we in the U. S.
would consider gross violations of privacy.
But even if the agency using the technology was entirely benign (and if
there are real human beings running it, it won't be entirely benign),
flaws in the technology such as a preferential tendency to make false positive
identifications of darker-skinned people will lead to injustices such as
innocent persons being identified, and possibly arrested and worse, in
connection with wrongs they did not commit.
So concerns like these are probably behind the motivation that
made Amazon ban its Rekognition software from police use for a year. Such concerns comprise at least one reason
that face-recognition firms have called for federal regulation of the
technology as well.
However, it does seem rather perverse for a company to defend a
product they made for police departments, only to turn around and take it away
from them for a year. And here I wish to
tread lightly, because in today's "cancel culture," anything you say
can be used against you, as the police used to say (and maybe still say, for
all I know). Only you used to have to be
formally charged with a crime for that to be the case, but no longer. Anyway, here goes.
The publicity surrounding George Floyd's death has led to both
intense outrage expressed in print, in words, and in massive demonstrations, as
well as to criminal acts such as looting and rioting. Understandably, a lot of the hostility
inspired by Floyd's death has been directed against law enforcement agencies
ranging from local police organizations up to and including the federal government. Recently, some have called for
"defunding" police forces, the interpretation of which varies, but at
a minimum means a punishing cut in financial support.
Order is a fundamental need for any functioning society. It is not the ultimate good of society, which
lies elsewhere, but it is needed as much as food and water. Because there are always a few people who
will not follow the rules simply because someone in authority tells them to,
most functioning societies of any size have law-enforcement agencies.
The modern concept of law includes the principle that it applies
equally to everybody. Sometimes the
police fall short in trying to achieve that ideal, and certain groups that
include minorities receive unfair treatment.
Every reasonable means should be used to try to remedy such wrongs, and
to get closer to the ideal of equal treatment under the law.
But to penalize entire organizations for the wrong acts of a few
of their members is to erode the very thing we are trying to achieve, namely,
equal treatment under the law. A
crippled (or, perish the thought, abolished) police force will lead to
increased disorder, and a reaction that may well institute a much harsher order
than any of us want.
Speaking specifically of Amazon and Rekognition, if the software
really didn't work that well, Amazon should never have sold it to the police in
the first place. Taking it away for a
year looks suspiciously like the time I took away my 10-year-old nephew's toys
for a day to punish him for not minding his aunt and uncle. And one can certainly question the right of a
private company to punish police departments, which are under the authority of
those governmental divisions that control them, not Amazon.
Sources:
The Associated Press article about Amazon's banning Rekognition from
police use appeared in numerous news outlets, including the Tampa Bay Times on
June 12 at https://www.tampabay.com/news/2020/06/10/amazon-bans-police-use-of-its-face-recognition-for-a-year/. The argument about the rule of law was
inspired by an interview I heard with Princeton professor Robert P. George on
the Sheila Liaugminas Relevant Radio network show "A Closer Look."
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