Biometrics (35)
Find narratives by ethical themes or by technologies.
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- 10 min
- The Washington Post
- 2019
Law enforcement officials at Federal and state levels, notably the FBI and ICE, use state driver’s license photo databases as a repository for facial recognition software. Such capabilities allow DMVs to help law enforcement in finding those suspected of a crime, undocumented immigrants, or even witnesses. Ultimately, states allow this to happen with certain stipulations, feeding into a concerning system of facial recognition and breach of trust. There is not a solid established system for citizen consent to such monitoring.
- The Washington Post
- 2019
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- 10 min
- The Washington Post
- 2019
FBI, ICE find state driver’s license photos are a gold mine for facial-recognition searches
Law enforcement officials at Federal and state levels, notably the FBI and ICE, use state driver’s license photo databases as a repository for facial recognition software. Such capabilities allow DMVs to help law enforcement in finding those suspected of a crime, undocumented immigrants, or even witnesses. Ultimately, states allow this to happen with certain stipulations, feeding into a concerning system of facial recognition and breach of trust. There is not a solid established system for citizen consent to such monitoring.
Does this case study of facial recognition make the US seem like a surveillance state or not? How can and should average citizens have more agency in DMV databases being used for facial recognition? Can the government use any digital surveillance in a way that does not breach citizen trust?
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- 15 min
- Kinolab
- 1997
Vincent, an “invalid” from the proximate future, was born naturally and is therefore seen as less than humans such as his brother Anton who were conceived in a computational genetic selection process to ensure that the best traits are carried on. Thus, in this eugenic society, biometric technologies such as finger pricks and other scans are used to detect superior and inferior human genomes. Vincent, relinquished to service jobs, steals the identity of a genetically superior man named Eugene to fulfill his goal of going on a space mission, yet is never able to let go of his sibling rivalry. However, Vincent sets himself up to prove that humans edited through this computational genomics project are not automatically superior to those naturally born.
- Kinolab
- 1997
Computational Genomics, Unnatural Selection, and Privilege
Vincent, an “invalid” from the proximate future, was born naturally and is therefore seen as less than humans such as his brother Anton who were conceived in a computational genetic selection process to ensure that the best traits are carried on. Thus, in this eugenic society, biometric technologies such as finger pricks and other scans are used to detect superior and inferior human genomes. Vincent, relinquished to service jobs, steals the identity of a genetically superior man named Eugene to fulfill his goal of going on a space mission, yet is never able to let go of his sibling rivalry. However, Vincent sets himself up to prove that humans edited through this computational genomics project are not automatically superior to those naturally born.
How might Computational Genomics affect the construction of the workforce? Is it ethical to discriminate upon the quality of ones genetic profile? Should the power of computers be used to help families partake in genetic selection for their children? How could bias enter supposedly beneficial uses of computational genomics? Have we gotten past a point where it is possible to fool computers with fake genetic tricks as Vincent does here?
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- 5 min
- Wired
- 2019
Non-profit companies such as Thorn and the Canadian Centre for Child Protection are using existing software, particularly facial recognition algorithms, to discover ways to become more proactive in fighting child pornography and human trafficking on the dark web.
- Wired
- 2019
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- 5 min
- Wired
- 2019
How Facial Recognition is fighting child sex trafficking
Non-profit companies such as Thorn and the Canadian Centre for Child Protection are using existing software, particularly facial recognition algorithms, to discover ways to become more proactive in fighting child pornography and human trafficking on the dark web.
How has technology facilitated underground illegal activities, such as child trafficking? How has technology also facilitated fighting back against them? What is your opinion on the debate on whether or not law enforcement should have extensive access to facial recognition technology or machine learning algorithms?
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- 5 min
- The New York Times
- 2019
In New York City, biometrics were used as a step in the investigation process, and thus combined with human oversight to help identify criminals and victims alike.
- The New York Times
- 2019
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- 5 min
- The New York Times
- 2019
How Biometrics Makes You Safer
In New York City, biometrics were used as a step in the investigation process, and thus combined with human oversight to help identify criminals and victims alike.
How does facial recognition technology facilitate challenging investigations? Do you believe police use of facial recognition is as transparent and pure as this article makes it seem? Where could bias enter this system of using facial recognition technology?
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- 7 min
- The New York Times
- 2019
Biometric facial recognition software, specifically that used with arrest photos in the NYPD, makes extensive use of children’s arrest photos despite a far lower accuracy rate.
- The New York Times
- 2019
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- 7 min
- The New York Times
- 2019
She Was Arrested at 14. Then Her Photo Went to a Biometrics Database
Biometric facial recognition software, specifically that used with arrest photos in the NYPD, makes extensive use of children’s arrest photos despite a far lower accuracy rate.
How can machine learning algorithms cause inequality to compound? Would it be better practice to try to make facial recognition equitable across all populations, or to abandon its use in law enforcement altogether, as some cities like Oakland have done?
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- 10 min
- The New York Times
- 2019
Databases of people’s faces are being compiled without their knowledge by companies and researchers (including social media companies or dating sites), with many shared around the world and fueling the advancement of facial recognition technology.
- The New York Times
- 2019
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- 10 min
- The New York Times
- 2019
Facial Recognition Tech is Growing Stronger, Thanks to Your Face
Databases of people’s faces are being compiled without their knowledge by companies and researchers (including social media companies or dating sites), with many shared around the world and fueling the advancement of facial recognition technology.
How comfortable would you feel knowing that your face is in various databases and is being use, in some cases, to fuel their machine learning algorithms? As of right now, Google and Facebook, who are said to have the largest facial databases of all, do not share their information, but might they? And what would happen if they did?