Computer Vision (40)
Find narratives by ethical themes or by technologies.
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- 10 min
- New York Times
- 2019
Racial bias in facial recognition software used for Government Civil Surveillance in Detroit. Racially biased technology. Diminishes agency of minority groups and enhances latent human bias.
- New York Times
- 2019
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- 10 min
- New York Times
- 2019
As Cameras Track Detroit’s Residents, a Debate Ensues Over Racial Bias
Racial bias in facial recognition software used for Government Civil Surveillance in Detroit. Racially biased technology. Diminishes agency of minority groups and enhances latent human bias.
What are the consequences of employing biased technologies to survey citizens? Who loses agency, and who gains agency?
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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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- 12 min
- Wired
- 2018
This video offers a basic introduction to the use of machine learning in predictive policing, and how this disproportionately affects low income communities and communities of color.
- Wired
- 2018
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- 12 min
- Wired
- 2018
How Cops Are Using Algorithms to Predict Crimes
This video offers a basic introduction to the use of machine learning in predictive policing, and how this disproportionately affects low income communities and communities of color.
Should algorithms ever be used in a context where human bias is already rampant, such as in police departments? Why is it that the use of digital technologies to accomplish tasks in this age makes a process seem more “efficient” or “objective”? What are the problems with police using algorithms of which they do not fully understand the inner workings? Is the use of predictive policing algorithms ever justifiable?
How Cops Are Using Algorithms to Predict Crimes: How Cops Are Using Algorithms to Predict Crimes-
- 5 min
- Wired
- 2021
A computer vision algorithm created by an MIT PhD student and trained on a large data set of mammogram photos from several years show potential for use in radiology. The algorithm is able to identify risk for breast cancer seemingly more reliably than the older statistical models through tagging the data with attributes that human eyes have missed. This would allow for customization in screening and treatment plans.
- Wired
- 2021
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- 5 min
- Wired
- 2021
These Doctors are using AI to Screen for Breast Cancer
A computer vision algorithm created by an MIT PhD student and trained on a large data set of mammogram photos from several years show potential for use in radiology. The algorithm is able to identify risk for breast cancer seemingly more reliably than the older statistical models through tagging the data with attributes that human eyes have missed. This would allow for customization in screening and treatment plans.
Do there seem to be any drawbacks to using this technology widely? How important is transparency of the algorithm in this case, as long as it seems to provide accurate results? How might this change the nature of doctor-patient relationships?
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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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- 2 min
- azfamily.com
- 2018
Facial recognition technology has found a new application: reuniting dogs with their owners. A simple machine learning algorithm takes a photo of a dog and crawls through a database of photos of dogs in shelters in hopes of finding a match.
- azfamily.com
- 2018
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- 2 min
- azfamily.com
- 2018
Facial recognition technology now used in Phoenix area to locate lost dogs
Facial recognition technology has found a new application: reuniting dogs with their owners. A simple machine learning algorithm takes a photo of a dog and crawls through a database of photos of dogs in shelters in hopes of finding a match.
How could this beneficial use of recognition technology find even broader use?