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Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064611 Inglês

Text I


         Understanding bias in facial recognition technologies


    Over the past couple of years, the growing debate around automated facial recognition has reached a boiling point. As developers have continued to swiftly expand the scope of these kinds of technologies into an almost unbounded range of applications, an increasingly strident chorus of critical voices has sounded concerns about the injurious effects of the proliferation of such systems on impacted individuals and communities. Critics argue that the irresponsible design and use of facial detection and recognition technologies (FDRTs) threaten to violate civil liberties, infringe on basic human rights and further entrench structural racism and systemic marginalisation. In addition, they argue that the gradual creep of face surveillance infrastructures into every domain of lived experience may eventually eradicate the modern democratic forms of life that have long provided cherished means to individual flourishing, social solidarity and human self-creation. 


    Defenders, by contrast, emphasise the gains in public safety, security and efficiency that digitally streamlined capacities for facial identification, identity verification and trait characterisation may bring. These proponents point to potential real-world benefits like the added security of facial recognition enhanced border control, the increased efficacy of missing children or criminal suspect searches that are driven by the application of brute force facial analysis to largescale databases and the many added conveniences of facial verification in the business of everyday life.


    Whatever side of the debate on which one lands, it would appear that FDRTs are here to stay.   


Adapted from: understanding_bias_in_facial_recognition_technology.pdf

The word “like” in “like the added security of facial recognition” (2nd paragraph) introduces a(n) 
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Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064610 Inglês

Text I


         Understanding bias in facial recognition technologies


    Over the past couple of years, the growing debate around automated facial recognition has reached a boiling point. As developers have continued to swiftly expand the scope of these kinds of technologies into an almost unbounded range of applications, an increasingly strident chorus of critical voices has sounded concerns about the injurious effects of the proliferation of such systems on impacted individuals and communities. Critics argue that the irresponsible design and use of facial detection and recognition technologies (FDRTs) threaten to violate civil liberties, infringe on basic human rights and further entrench structural racism and systemic marginalisation. In addition, they argue that the gradual creep of face surveillance infrastructures into every domain of lived experience may eventually eradicate the modern democratic forms of life that have long provided cherished means to individual flourishing, social solidarity and human self-creation. 


    Defenders, by contrast, emphasise the gains in public safety, security and efficiency that digitally streamlined capacities for facial identification, identity verification and trait characterisation may bring. These proponents point to potential real-world benefits like the added security of facial recognition enhanced border control, the increased efficacy of missing children or criminal suspect searches that are driven by the application of brute force facial analysis to largescale databases and the many added conveniences of facial verification in the business of everyday life.


    Whatever side of the debate on which one lands, it would appear that FDRTs are here to stay.   


Adapted from: understanding_bias_in_facial_recognition_technology.pdf

In the first sentence, when the author says that the debate “has reached a boiling point”, he means that the debate is
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Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064609 Inglês

Text I


         Understanding bias in facial recognition technologies


    Over the past couple of years, the growing debate around automated facial recognition has reached a boiling point. As developers have continued to swiftly expand the scope of these kinds of technologies into an almost unbounded range of applications, an increasingly strident chorus of critical voices has sounded concerns about the injurious effects of the proliferation of such systems on impacted individuals and communities. Critics argue that the irresponsible design and use of facial detection and recognition technologies (FDRTs) threaten to violate civil liberties, infringe on basic human rights and further entrench structural racism and systemic marginalisation. In addition, they argue that the gradual creep of face surveillance infrastructures into every domain of lived experience may eventually eradicate the modern democratic forms of life that have long provided cherished means to individual flourishing, social solidarity and human self-creation. 


    Defenders, by contrast, emphasise the gains in public safety, security and efficiency that digitally streamlined capacities for facial identification, identity verification and trait characterisation may bring. These proponents point to potential real-world benefits like the added security of facial recognition enhanced border control, the increased efficacy of missing children or criminal suspect searches that are driven by the application of brute force facial analysis to largescale databases and the many added conveniences of facial verification in the business of everyday life.


    Whatever side of the debate on which one lands, it would appear that FDRTs are here to stay.   


Adapted from: understanding_bias_in_facial_recognition_technology.pdf

In the last sentence, the author states that facial detection and recognition technologies
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Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064608 Inglês

Text I


         Understanding bias in facial recognition technologies


    Over the past couple of years, the growing debate around automated facial recognition has reached a boiling point. As developers have continued to swiftly expand the scope of these kinds of technologies into an almost unbounded range of applications, an increasingly strident chorus of critical voices has sounded concerns about the injurious effects of the proliferation of such systems on impacted individuals and communities. Critics argue that the irresponsible design and use of facial detection and recognition technologies (FDRTs) threaten to violate civil liberties, infringe on basic human rights and further entrench structural racism and systemic marginalisation. In addition, they argue that the gradual creep of face surveillance infrastructures into every domain of lived experience may eventually eradicate the modern democratic forms of life that have long provided cherished means to individual flourishing, social solidarity and human self-creation. 


    Defenders, by contrast, emphasise the gains in public safety, security and efficiency that digitally streamlined capacities for facial identification, identity verification and trait characterisation may bring. These proponents point to potential real-world benefits like the added security of facial recognition enhanced border control, the increased efficacy of missing children or criminal suspect searches that are driven by the application of brute force facial analysis to largescale databases and the many added conveniences of facial verification in the business of everyday life.


    Whatever side of the debate on which one lands, it would appear that FDRTs are here to stay.   


Adapted from: understanding_bias_in_facial_recognition_technology.pdf

Based on Text I, analyze the assertions below:


I. Critics are concerned about the pervasiveness of facial recognition technology.


II. Facial recognition systems may reduce the efficiency and security of border control.


III. Facial recognition systems may reduce the efficiency and security of border control.


Choose the correct answer: 

Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064607 Português
Os vocábulos abaixo aparecem acentuados, mas um deles está acentuado de forma incorreta
Assinale a opção em que esse vocábulo aparece. 
Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064606 Português
As frases a seguir trazem nomes de especialidades médicas. Assinale a frase cuja especialidade tem seu objeto corretamente definido. 
Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064605 Português
Assinale a frase em que há erro no emprego do acento grave indicativo da crase.
Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064604 Português
Assinale a frase em que “um/uma” é classificado como numeral e não como artigo.
Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064603 Português
Assinale a frase a seguir em que a troca de posição entre substantivo e adjetivo provoca modificação de sentido. 
Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064602 Português
Assinale a frase em que a expressão “graças a” está empregada de forma adequada. 
Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064601 Português
Assinale a afirmativa correta sobre os elementos de uma das frases a seguir.
Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064600 Português
Assinale a frase em que a forma sublinhada está grafada corretamente. 
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Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064599 Português
Assinale a frase em que houve troca indevida entre “senão” e “se não”. 
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Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064598 Português

Assinale a frase em que o termo, de valor adverbial, foi corretamente substituído por um advérbio de sentido equivalente. 

Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064597 Português
Assinale a opção em que a palavra “só” é classificada como na frase “Para assistirem a este filme, só entram os maiores de dezoito anos”. 
Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064596 Português
Assinale a opção em que a palavra “mais” mostra uma classe gramatical diferente das demais. 
Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064595 Português

Assinale a frase que se estrutura por meio de antônimos. 

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Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064594 Português

Um código indiano de leis registra o seguinte:


Toda vez que o homem reconhece e confessa ter pecado, libera-se do próprio pecado como uma serpente, da pele velha.


Sobre o significado e a estruturação desse segmento textual, é correto afirmar que  

Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064593 Português
Assinale a frase em que houve troca indevida entre onde/aonde. 
Alternativas
Ano: 2025 Banca: FGV Órgão: PM-SP Prova: FGV - 2025 - PM-SP - Aluno-Oficial PM (Inglês) |
Q4064592 Português

As frases a seguir mostram comparações. 


Assinale a opção em que a comparação realizada não é explicada. 

Alternativas
Respostas
3621: E
3622: A
3623: B
3624: D
3625: B
3626: B
3627: D
3628: A
3629: B
3630: B
3631: B
3632: E
3633: E
3634: C
3635: D
3636: A
3637: A
3638: C
3639: E
3640: D