Computer Vision (40)
Find narratives by ethical themes or by technologies.
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- 7 min
- Wired
- 2020
As different levels of the U.S government have introduced and passed bills regulating or banning the use of facial recognition technologies, tech monopolies such as Amazon and IBM have become important lobbying agents in these conversations. It seems that most larger groups are on different pages in terms of how exactly face recognition algorithms should be limited or used, especially given their negative impacts on privacy when used for surveillance.
- Wired
- 2020
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- 7 min
- Wired
- 2020
Congress Is Eyeing Face Recognition, and Companies Want a Say
As different levels of the U.S government have introduced and passed bills regulating or banning the use of facial recognition technologies, tech monopolies such as Amazon and IBM have become important lobbying agents in these conversations. It seems that most larger groups are on different pages in terms of how exactly face recognition algorithms should be limited or used, especially given their negative impacts on privacy when used for surveillance.
Can and should the private sector be regulated in its use of facial recognition technologies? How is it that tech monopolies might hold so much sway with government officials, and how can this be addressed? Do the benefits of facial recognition, such as convenience at the airport, listed at the end of the article make enough of a case against a complete ban of the technology, or do the bad applications ultimately outweigh the good ones? What would the ideal bill look like in terms of limiting or banning facial recognition?
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- 7 min
- Vice
- 2021
In New Orleans, a city known for its history of racist policing, grassroots activists turned to precedent from other states to ban police use of surveillance and facial recognition technology through both public and private cameras.
- Vice
- 2021
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- 7 min
- Vice
- 2021
How Musicians and Sex Workers Beat Facial Recognition in New Orleans
In New Orleans, a city known for its history of racist policing, grassroots activists turned to precedent from other states to ban police use of surveillance and facial recognition technology through both public and private cameras.
What responsibility do firms like Palantir have to make sure that their technology is used for undeniable good? Can cities like Oakland or New Orleans become the norm in terms of privacy from facial recognition while such firms exist?
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- 5 min
- MIT Technology Review
- 2021
The company Datagen serves as an example of a business which sells synthetic human faces (based on real scans) to other companies to use as training data for AI.
- MIT Technology Review
- 2021
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- 5 min
- MIT Technology Review
- 2021
These creepy fake humans herald a new age in AI
The company Datagen serves as an example of a business which sells synthetic human faces (based on real scans) to other companies to use as training data for AI.
Does it seem likely that synthetic human data has the power to combat bias, or could it just introduce more bias? Does this represent putting too much trust in machines?
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- 3 min
- Vimeo: Shalini Kantayya
- 2020
A brief visual example of an application of computer vision for facial recognition, how these algorithms can be trained to recognized faces, and the dangers that come with biased data sets, such as a disproportionate amount of white men.
- Vimeo: Shalini Kantayya
- 2020
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- 3 min
- Vimeo: Shalini Kantayya
- 2020
Coded Bias: How Ignorance Enters Computer Vision
A brief visual example of an application of computer vision for facial recognition, how these algorithms can be trained to recognized faces, and the dangers that come with biased data sets, such as a disproportionate amount of white men.
When thinking about computer vision in relation to projects such as the Aspire Mirror, what sorts of individual and systemic consequences arise for those who have faces that biased computer vision programs do not easily recognize?
Coded Bias: Coded Bias Introduction-
- 5 min
- Kinolab
- 2014
In this vignette, Matt describes his backstory as a member of an online community who used technology called “Z-eyes” to walk each other through activities such as flirting with women at bars. The Z-eyes technology directly streams all audiovisual data which his friend Harry experiences to his screen, and Matt is additionally able to use facial recognition and information searches to offer background information which enhances Harry’s plays.
- Kinolab
- 2014
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- 5 min
- Kinolab
- 2014
Vicarious Digital Living
In this vignette, Matt describes his backstory as a member of an online community who used technology called “Z-eyes” to walk each other through activities such as flirting with women at bars. The Z-eyes technology directly streams all audiovisual data which his friend Harry experiences to his screen, and Matt is additionally able to use facial recognition and information searches to offer background information which enhances Harry’s plays.
What are some problems with technology such as this being invisible, in terms of privacy? Could this have legitimate therapeutic purposes, such as being a treatment for social anxiety? How should technology like Z-eyes be regulated?
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- 4 min
- Kinolab
- 1982
While attempting to track down humanoid robots, or “replicants”, that he must kill, Officer Rick Deckard goes to Chinatown to analyze his singular piece of evidence; a snake scale. The scale is revealed to be from an android snake crafted within Chinatown.
- Kinolab
- 1982
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- 4 min
- Kinolab
- 1982
Robotic Animals
While attempting to track down humanoid robots, or “replicants”, that he must kill, Officer Rick Deckard goes to Chinatown to analyze his singular piece of evidence; a snake scale. The scale is revealed to be from an android snake crafted within Chinatown.
Should android animals ever become too indistinguishable from their real counterparts? How might this be used for negative ends? How will engineered human and animal parts be distinguished from natural ones?