As questão refere-se ao texto destacado:
About seven years ago, three researchers at the
University of Toronto built a system that could analyze
thousands of photos and teach itself to recognize
everyday objects, like dogs, cars and flowers.
The system was so effective that Google bought the
tiny start-up these researchers were only just getting off
the ground. And soon, their system sparked a
technological revolution. Suddenly, machines could “see”
in a way that was not possible in the past.
This made it easier for a smartphone app to search your
personal photos and find the images you were looking for.
It accelerated the progress of driverless cars and other
robotics. And it improved the accuracy of facial
recognition services, for social networks like Facebook
and for the country’s law enforcement agencies. But soon,
researchers noticed that these facial recognition services
were less accurate when used with women and people of
color. Activists raised concerns over how companies were
collecting the huge amounts of data needed to train these
kinds of systems. Others worried these systems would
eventually lead to mass surveillance or autonomous
weapons.
Fonte: Matz, Cade. Seeking Ground Rules for A. 1.
www.nytimes.com, 01 03 2019. Adaptado.
Acessado em Agosto/2019.)
De acordo com as informações do texto, selecione a
alternativa que melhor complete a afirmação: The new
system proved to be less precise when
a) applied to driverless cars.
b) adjusted to users’ face recognition in social networks.
c) identifying inanimate objects like cars and plants.
d) used to identify Africans and African descendants.
e) tested by American law enforcement agencies.
O novo sistema provou ser menos preciso quando
usado para identificar africanos e descendentes de
africanos.
Encontramos a informação correta no seguinte trecho
do texto:
“...these facial recognition services were less accurate
when used with women and people of color.”
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