Stories exploring general ethical aspects of technologies.
Computing Ethics Issues (12)
Find narratives by ethical themes or by technologies.
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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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- 7 min
- Mad Scientist Laboratory
- 2018
The combination of the profit motive for tech companies and the vague language of non-binding ehtical agreements for coders means that there must be a higher regulation for ethical deployment and use of technology. Argues that there must be clear demarcations between what is considered real and human versus fake and virtual. Digital technologies should be regulated in a manner similar to other technologies, such as guns, cars, or nuclear weapons.
- Mad Scientist Laboratory
- 2018
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- 7 min
- Mad Scientist Laboratory
- 2018
Man Machine Rules
The combination of the profit motive for tech companies and the vague language of non-binding ehtical agreements for coders means that there must be a higher regulation for ethical deployment and use of technology. Argues that there must be clear demarcations between what is considered real and human versus fake and virtual. Digital technologies should be regulated in a manner similar to other technologies, such as guns, cars, or nuclear weapons.
How do we ensure the ethical use of AI by digital tech giants? Should there be an equivalent of the hippocratic oath for development of digital technology? How would you imagine something like this being put in place? Are the man-machine rules laid out at the end of the article realistic?
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- 27 min
- Cornell Tech
- 2019
Solon Barocas discusses his relatively new course on ethics in data science, following a larger trend of developing ethical sensibility in this field. He shares ideas of spreading out lessons across courses, promoting dialogue, and making sure we are really analyzing problems while learning to stand up for the right thing. Offers a case study of technological ethical sensibilities through questions raised by predictive policing algorithms.
- Cornell Tech
- 2019
Teaching Ethics in Data Science
Solon Barocas discusses his relatively new course on ethics in data science, following a larger trend of developing ethical sensibility in this field. He shares ideas of spreading out lessons across courses, promoting dialogue, and making sure we are really analyzing problems while learning to stand up for the right thing. Offers a case study of technological ethical sensibilities through questions raised by predictive policing algorithms.
Why is it important to implement ethical sensibility in data science? What could happen if we do not?
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- 7 min
- n/a
- 2018
Exploration of how, through facial and emotion recognition, digital artifacts make decisions on what we may want or need, and what they are able to do with this data.
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- 2018
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- 7 min
- n/a
- 2018
Stealing Ur Feelings
Exploration of how, through facial and emotion recognition, digital artifacts make decisions on what we may want or need, and what they are able to do with this data.
Did you feel your results truly reflected your perception of yourself? What are the consequences of a machine missing all sorts of nuances and labelling you in the wrong way?
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- 15 min
- n/a
- 2018
Choose-your-own-adventure game, in which you experience some sort of data fraud through acting in the position of a cast of characters.
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- 2018
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- 15 min
- n/a
- 2018
Choose Your Own Fake News
Choose-your-own-adventure game, in which you experience some sort of data fraud through acting in the position of a cast of characters.
How can you be less vulnerable to fake news and fake advertising online?