AI (119)

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Find narratives by ethical themes or by technologies.

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Themes
  • Privacy
  • Accountability
  • Transparency and Explainability
  • Human Control of Technology
  • Professional Responsibility
  • Promotion of Human Values
  • Fairness and Non-discrimination
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  • 4 min
  • VentureBeat
  • 2020
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Researchers Find that Even Fair Hiring Algorithms Can Be Biased

A study on the engine of TaskRabbit, an app which uses an algorithm to recommend the best workers for a specific task, demonstrates that even algorithms which attempt to account for fairness and parity in representation can fail to provide what they promise depending on different contexts.

  • VentureBeat
  • 2020
  • 4 min
  • OneZero
  • 2020
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Dr. Timnit Gebru, Joy Buolamwini, Deborah Raji — an Enduring Sisterhood of Face Queens

A group of “Face Queens” (Dr. Timnit Gebru, Joy Buolamwini, and Deborah Raji) have joined forces to do important racial justice and equity work in the field of computer vision, struggling against racism in the industry to whistleblow against biased machine learning and computer vision technologies still deployed by companies like Amazon.

  • OneZero
  • 2020
  • 7 min
  • ZDNet
  • 2020
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Rebooting AI: Deep learning, meet knowledge graphs

Dr. Gary Marcus explains that deep machine learning as it currently exists is not maximizing the potential of AI to collect and process knowledge. He essentially argues that these machine “brains” should have more innate knowledge than they do, similar to how animal brains function in processing an environment. Ideally, this sort of baseline knowledge would be used to collect and process information from “Knowledge graphs,” a semantic web of information available on the internet which can sometimes be hard for an AI to process without translation to machine vocabularies such as RDF.

  • ZDNet
  • 2020
  • 7 min
  • CNN
  • 2021
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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.

  • CNN
  • 2021
  • 51 min
  • TechCrunch
  • 2020
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Artificial Intelligence and Disability

In this podcast, several disability experts discuss the evolving relationship between disabled people, society, and technology. The main point of discussion is the difference between the medical and societal models of disability, and how the medical lens tends to spur technologies with an individual focus on remedying disability, whereas the societal lens could spur technologies that lead to a more accessible world. Artificial Intelligence and machine learning is labelled as inherently “normative” since it is trained on data that comes from a biased society, and therefore is less likely to work in favor of a social group as varied as disabled people. There is a clear need for institutional change in the technology industry to address these problems.

  • TechCrunch
  • 2020
  • 5 min
  • Wired
  • 2020
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The Ethics of Rebooting the Dead

As means of preserving deceased loved ones digitally become more and more likely, it is critical to consider the implications of technologies which aim to replicate and capture the personality and traits of those who have passed. Not only might this change the natural process of grieving and healing, it may also have alarming consequences for the agency of the dead. For the corresponding Black Mirror episode discussed in the article, see the narratives “Martha and Ash Parts I and II.”

  • Wired
  • 2020
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