Bioinformatics (86)
Find narratives by ethical themes or by technologies.
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- 5 min
- New York Times
- 2020
Decisions on whether or not law enforcement should be trusted with facial recognition are tricky, as is argued by Detroit city official James Tate. On one hand, the combination of the bias latent in the technology itself and the human bias of those who use it sometimes leads to over-policing of certain communities. On the other hand, with the correct guardrails, it can be an effective tool in getting justice in cases of violent crime. This article details the ongoing debate about how much facial recognition technology use is proper in Detroit.
- New York Times
- 2020
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- 5 min
- New York Times
- 2020
A Case for Facial Recognition
Decisions on whether or not law enforcement should be trusted with facial recognition are tricky, as is argued by Detroit city official James Tate. On one hand, the combination of the bias latent in the technology itself and the human bias of those who use it sometimes leads to over-policing of certain communities. On the other hand, with the correct guardrails, it can be an effective tool in getting justice in cases of violent crime. This article details the ongoing debate about how much facial recognition technology use is proper in Detroit.
Who should be deciding on the guardrails surrounding the use of facial recognition technology? How can citizens have more control over when their face is being recorded or captured? Can there ever be enough guardrails to truly ensure that facial recognition technology can be used with no chance of bias?
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- 5 min
- Gizmodo
- 2021
Customs and Border protection used facial recognition technology to scan travelers entering the U.S at several points of entry in 2020, and did not identify any impostors or impersonators. This is part of a larger program of using biometrics to screen those who enter the country, which raises concerns about data privacy, who may have access to this data, and how it may be used.
- Gizmodo
- 2021
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- 5 min
- Gizmodo
- 2021
CBP Facial Recognition Scanners Failed to Find a Single Imposter At Airports in 2020
Customs and Border protection used facial recognition technology to scan travelers entering the U.S at several points of entry in 2020, and did not identify any impostors or impersonators. This is part of a larger program of using biometrics to screen those who enter the country, which raises concerns about data privacy, who may have access to this data, and how it may be used.
What bad outcomes are possible from the government having extensive biometric data, including facial scans, on many people who try to enter the country? Why does the government get away with using biased technology to conduct facial scans at airports, for example? Are “facilitation improvements” worth aiming for if it means using technologies that are not 100% effective and will disproportionately harm certain populations?
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- 7 min
- MIT Tech Review
- 2020
This article examines several case studies from the year of 2020 to discuss the widespread usage, and potential for limitation, of facial recognition technology. The author argues that its potential for training and identification using social media platforms in conjunction with its use by law enforcement is dangerous for minority groups and protestors alike.
- MIT Tech Review
- 2020
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- 7 min
- MIT Tech Review
- 2020
Why 2020 was a pivotal, contradictory year for facial recognition
This article examines several case studies from the year of 2020 to discuss the widespread usage, and potential for limitation, of facial recognition technology. The author argues that its potential for training and identification using social media platforms in conjunction with its use by law enforcement is dangerous for minority groups and protestors alike.
Should there be a national moratorium on facial recognition technology? How can it be ensured that smaller companies like Clearview AI are more carefully watched and regulated? Do we consent to having or faces identified any time we post something to social media?
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- 3 min
- techviral
- 2018
In India, where disappearance of children is a common social issue, facial recognition technology has been useful in identifying and located many missing or displaced children. This breakthrough means that the technology can hopefully be applied to help ameliorate this issue, as well as in other areas such as law enforcement.
- techviral
- 2018
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- 3 min
- techviral
- 2018
New Facial Recognition System Helps Trace 3000 Missing Children In Just 4 Days
In India, where disappearance of children is a common social issue, facial recognition technology has been useful in identifying and located many missing or displaced children. This breakthrough means that the technology can hopefully be applied to help ameliorate this issue, as well as in other areas such as law enforcement.
In what ways does this specific technology serve the common good in India? What are the concerns about the privacy of the children involved, and is this outweighed by the value of safety? To what degree does facial recognition technology actually help solve this problem in general?
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- 3 min
- CNBC
- 2013
Facial recognition software, or using computer vision and biometric technology on an image of a person to identify them, has potential applications in law enforcement to help catch suspects or criminals. However, aspects of probability are at play, especially as the photos or videos captured become blurrier and need an additional layer of software analysis to be “de-pixelized.” Also, identification depends on the databases to which the FBI has access.
- CNBC
- 2013
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- 3 min
- CNBC
- 2013
How Facial Recognition Technology Could Help Catch Criminals
Facial recognition software, or using computer vision and biometric technology on an image of a person to identify them, has potential applications in law enforcement to help catch suspects or criminals. However, aspects of probability are at play, especially as the photos or videos captured become blurrier and need an additional layer of software analysis to be “de-pixelized.” Also, identification depends on the databases to which the FBI has access.
How should law enforcement balance training these facial recognition programs with good amounts of quality data and avoiding breaching privacy by accessing more databases with citizen faces? Where can human bias enter into the human-computer systems described in the article? Should there be any margin of error or aspect of probability in technologies that work in volatile areas like law enforcement?
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- 3 min
- MacRumors
- 2021
Facebook’s collaboration with Ray-Ban on a new technology of “smart glasses” comes with a host of questions on whether or not capabilities such as facial recognition should be built into the technology.
- MacRumors
- 2021
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- 3 min
- MacRumors
- 2021
Facebook Weighing Up Legality of Facial Recognition in Upcoming Smart Glasses
Facebook’s collaboration with Ray-Ban on a new technology of “smart glasses” comes with a host of questions on whether or not capabilities such as facial recognition should be built into the technology.
What are the “so clear” benefits and risks of having facial recognition algorithms implanted into smart glasses, in your view? What are the problems with “transparent technology” such as smart glasses, where other citizens may not even know that they are being surveilled?