AI (143)
Find narratives by ethical themes or by technologies.
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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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- 7 min
- Vice
- 2019
Programmer creates an application that uses neural networks to remove clothing from the images of women. Deepfake technology being used against women systematically, despite continued narrative that its use in the political realm is the most pressing issue.
- Vice
- 2019
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- 7 min
- Vice
- 2019
This Horrifying App Undresses a Photo of Any Woman With a Single Click
Programmer creates an application that uses neural networks to remove clothing from the images of women. Deepfake technology being used against women systematically, despite continued narrative that its use in the political realm is the most pressing issue.
How does technology enhance violation of sexual privacy? Who should regulate this technology, and how?
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- 5 min
- MIT Technology Review
- 2019
Humans take the blame for failures of AI automated systems, protecting the integrity of the technological system and becoming a “liability sponge.” It is necessary to redefine the role of humans in sociotechnical systems.
- MIT Technology Review
- 2019
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- 5 min
- MIT Technology Review
- 2019
When algorithms mess up, the nearest human gets the blame
Humans take the blame for failures of AI automated systems, protecting the integrity of the technological system and becoming a “liability sponge.” It is necessary to redefine the role of humans in sociotechnical systems.
Should humans take the blame for algorithm-created harm? At what level (development, corporate, or personal) should this liability occur?
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- 7 min
- The Verge
- 2019
Reliance on “emotion recognition” algorithms, which use facial analysis to infer feelings. Credibility of the results in question based on inability of machines to recognize abstract nuances.
- The Verge
- 2019
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- 7 min
- The Verge
- 2019
AI ‘Emotion Recognition’ Can’t Be Trusted
Reliance on “emotion recognition” algorithms, which use facial analysis to infer feelings. Credibility of the results in question based on inability of machines to recognize abstract nuances.
Can digital artifacts potentially detect human emotions correctly? Should our emotions be read by machines? Are emotions too complex for machines to understand? How is human agency impacted by discrete AI categories for emotions?
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- 5 min
- CNN
- 2010
Algorithms and machines can struggle with facial recognition, and need ideal source images to perform it consistently. However, its potential use in monitoring and identifying citizens is concerning.
- CNN
- 2010
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- 5 min
- CNN
- 2010
Why face recognition isn’t scary — yet
Algorithms and machines can struggle with facial recognition, and need ideal source images to perform it consistently. However, its potential use in monitoring and identifying citizens is concerning.
How have the worries regarding facial recognition changed since 2010? Can we teach machines to identify human faces? How can facial recognition pose a danger/worry when use for governmental purposes?
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- 15 min
- The App Solutions
Overview of recommender systems, which are information filtering algorithms design to suggest content or products to a particular user.
- The App Solutions
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- 15 min
- The App Solutions
5 types of recommender systems and their impact on customer experience
Overview of recommender systems, which are information filtering algorithms design to suggest content or products to a particular user.
How do information filtering algorithms work and learn? Are some types of recommender systems more generally ethical than others?