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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 d

Interpretação de Textos (Understanding)

FGV · 2025

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

  1. can generate a few obstacles.
  2. seem to be firmly established.
  3. may cause too many problems.
  4. could eliminate human workforce.
  5. might be replaced by other systems.
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Gabarito

B

Comentário do professor

Letra B está correta porque traduz com precisão a ideia final do autor: a expressão "here to stay" indica permanência, algo que entrou na rotina e dificilmente desaparecerá.

O trecho original usa "it would appear", que corresponde a seem to be, isto é, uma conclusão provável, não uma afirmação absoluta.

Assim, seem to be firmly established combina a noção de inferência do autor com a de que as tecnologias de detecção e reconhecimento facial já estão firmemente estabelecidas na sociedade.

Em resumo, a alternativa capta tanto o tom cauteloso quanto a ideia de continuidade expressos na frase final do texto.

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