Themes (326)
Find narratives by ethical themes or by technologies.
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- 7 min
- Slate
- 2019
Discussion of Facebook’s massive collection of human faces and their potential impact on society.
- Slate
- 2019
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- 7 min
- Slate
- 2019
Facebook’s Face-ID Database Could Be the Biggest in the World. Yes, It Should Worry Us.
Discussion of Facebook’s massive collection of human faces and their potential impact on society.
Is Facebook’s facial recognition database benign, or a slow-bubbling volcano?
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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?
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- 6 min
- The Guardian
- 2019
Across the globe, conflicting feelings exist about how “human” robots ought to be, and if humanoid machines are a positive or negative.
- The Guardian
- 2019
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- 6 min
- The Guardian
- 2019
Being Human: How Realistic Do We Want Robots To Be?
Across the globe, conflicting feelings exist about how “human” robots ought to be, and if humanoid machines are a positive or negative.
Would it make it easier to interact with a robot that looks human? What defines an authentic human life experience if robots become capable of imitating our specific characteristics indistinguishably well?
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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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- 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
- 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?