All Narratives (356)
Find narratives by ethical themes or by technologies.
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- 30 min
- UNIVERSITY OF WÜRZBURG GRADUATE SCHOOLS
- 1982
Hardware specialist Automatic Jack is roped into a dangerous hacking scheme with his partner Bobby Quine while they compete for the affections of Rikki. Their plan is to use deadly malware to infiltrate the protections of Chrome, a mysterious overlord of cyberspace who hoards massive amounts of wealth. They enact this plan by entering cyberspace within a program and visualizing the data held within this digital network which connects people all across the globe.
- UNIVERSITY OF WÜRZBURG GRADUATE SCHOOLS
- 1982
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- 30 min
- UNIVERSITY OF WÜRZBURG GRADUATE SCHOOLS
- 1982
Cyberspace and Internet Imaginations: “Burning Chrome” by William Gibson
Hardware specialist Automatic Jack is roped into a dangerous hacking scheme with his partner Bobby Quine while they compete for the affections of Rikki. Their plan is to use deadly malware to infiltrate the protections of Chrome, a mysterious overlord of cyberspace who hoards massive amounts of wealth. They enact this plan by entering cyberspace within a program and visualizing the data held within this digital network which connects people all across the globe.
How can malware be used for good, and when should it be used for good? How do imaginations of the internet influence how people perceive this mysterious yet pervasive network? In what ways would making aspects of the internet into tangible images help people understand it better? How should the most powerful stakeholders in a given digital architecture be challenged? How might immersion into cyberspace give people more agency?
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- 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
- CNN
- 2021
The prominence of social data on any given person afforded by digital artifacts, such as social media posts and text messages, can be used to train a new algorithm patented by Microsoft to create a chatbot meant to imitate that specific person. This technology has not been released, however, due to its harrowing ethical implications of impersonation and dissonance. For the Black Mirror episode referenced in the article, see the narratives “Martha and Ash Parts I and II.”
- CNN
- 2021
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- 3 min
- CNN
- 2021
Microsoft patented a chatbot that would let you talk to dead people. It was too disturbing for production
The prominence of social data on any given person afforded by digital artifacts, such as social media posts and text messages, can be used to train a new algorithm patented by Microsoft to create a chatbot meant to imitate that specific person. This technology has not been released, however, due to its harrowing ethical implications of impersonation and dissonance. For the Black Mirror episode referenced in the article, see the narratives “Martha and Ash Parts I and II.”
How do humans control their identity when it can be replicated through machine learning? What sorts of quirks and mannerisms are unique to humans and cannot be replicated by an algorithm?
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- 7 min
- CNN
- 2021
The South Korean company Supertone has created a machine learning algorithm which has been able to replicate the voice of beloved singer Kim Kwang-seok, thus performing a new single in his voice even after his death. However, certain ethical questions such as who owns artwork created by AI and how to avoid fraud ought to be addressed before such technology is used more widely.
- CNN
- 2021
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- 7 min
- CNN
- 2021
South Korea has used AI to bring a dead superstar’s voice back to the stage, but ethical concerns abound
The South Korean company Supertone has created a machine learning algorithm which has been able to replicate the voice of beloved singer Kim Kwang-seok, thus performing a new single in his voice even after his death. However, certain ethical questions such as who owns artwork created by AI and how to avoid fraud ought to be addressed before such technology is used more widely.
How can synthetic media change the legacy of a certain person? Who do you believe should gain ownership of works created by AI? What factors does this depend upon? How might the music industry be changed by such AI? How could human singers compete with artificial ones if AI concerts became the norm?
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- 7 min
- Venture Beat
- 2021
As machine learning algorithms become more deeply embedded in all levels of society, including governments, it is critical for developers and users alike to consider how these algorithms may shift or concentrate power, specifically as it relates to biased data. Historical and anthropological lenses are helpful in dissecting AI in terms of how they model the world, and what perspectives might be missing from their construction and operation.
- Venture Beat
- 2021
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- 7 min
- Venture Beat
- 2021
Center for Applied Data Ethics suggests treating AI like a bureaucracy
As machine learning algorithms become more deeply embedded in all levels of society, including governments, it is critical for developers and users alike to consider how these algorithms may shift or concentrate power, specifically as it relates to biased data. Historical and anthropological lenses are helpful in dissecting AI in terms of how they model the world, and what perspectives might be missing from their construction and operation.
Whose job is it to ameliorate the “privilege hazard”, and how should this be done? How should large data sets be analyzed to avoid bias and ensure fairness? How can large data aggregators such as Google be held accountable to new standards of scrutinizing data and introducing humanities perspectives in applications?
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- 10 min
- The New Yorker
- 2020
This article contextualizes the BLM uprisings of 2020 in a larger trend of using social media and other digital platforms to promote activist causes. A comparison between the benefits of in-person, on-the-ground activism and activism which takes place through social media is considered.
- The New Yorker
- 2020
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- 10 min
- The New Yorker
- 2020
The Second Act of Social Media Activism
This article contextualizes the BLM uprisings of 2020 in a larger trend of using social media and other digital platforms to promote activist causes. A comparison between the benefits of in-person, on-the-ground activism and activism which takes place through social media is considered.
How should activism in its in-person and online forms be mediated? How does someone become an authority, for information or otherwise, on the internet? What are the benefits and detriments of the decentralization of organization afforded by social media activism?