Fairness and Non-discrimination (56)

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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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  • AI
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  • 10 min
  • The Atlantic
  • 2014
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How Self-Tracking Apps Exclude Women

When the Apple Health app first released, it lacked one crucial component: the ability to track menstrual cycles. This exclusion of women from accessible design of technology is not the exception but rather the rule. This results from problems inherent to the gender imbalance in technology workplaces, especially at the level of design. Communities such as the Quantified Self offer spaces to help combat this exclusive culture.

  • The Atlantic
  • 2014
  • 5 min
  • Indie Wire
  • 2021
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How Black Storytellers Are Using XR and Afro-Futurism to Explore Ancestral Identity

New virtual exhibits displayed through Web XR, or Extended Reality available over the network of internet browsers, allow Black artists and creators to present ancestral knowledge and stories while providing a new basis on which AI could be trained. This use of AI leads to an imagination free of colonial or racist constructs that may otherwise be present in digital media.

  • Indie Wire
  • 2021
  • 10 min
  • Gizmodo
  • 2021
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Developing Algorithms That Might One Day Be Used Against You

Physicist Brian Nord, who learned about deep learning algorithms through his research on the cosmos, warns against how developing algorithms without proper ethical sensibility can lead to these algorithms having more negative impacts than positive ones. Essentially, an “a priori” or proactive approach to instilling AI ethical sensibility, whether through review institutions or ethical education of developers, is needed to guard against privileged populations using algorithms to maintain hegemony.

  • Gizmodo
  • 2021
  • 7 min
  • Wall Street Journal
  • 2021
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Google Built the Pixel 6 Camera to Better Portray People With Darker Skin Tones. Does It?

Google’s new Pixel 6 smartphone claims to have “the world’s most inclusive camera” based on its purported ability to more accurately reflect darker skin tones in photographs, a form of digital justice notably absent from previous iterations of computational photography across the phones of various tech monopolies.

  • Wall Street Journal
  • 2021
  • 7 min
  • The Verge
  • 2020
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What a machine learning tool that turns Obama white can (and can’t) tell us about AI bias

PULSE is an algorithm which can supposedly determine what a face looks like from a pixelated image. The problem: more often than not, the algorithm will return a white face, even when the person from the pixelated photograph is a person of color. The algorithm works through creating a synthetic face which matches with the pixel pattern, rather than actually clearing up the image. It is these synthetic faces that demonstrate a clear bias toward white people, demonstrating how institutional racism makes its way thoroughly into technological design. Thus, diversity in data sets will not full help until broader solutions combatting bias are enacted.

  • The Verge
  • 2020
  • 7 min
  • New York Times
  • 2018
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Facial Recognition Is Accurate, if You’re a White Guy

This article details the research of Joy Buolamwini on racial bias coded into algorithms, specifically facial recognition programs. When auditing facial recognition software from several large companies such as IBM and Face++, she found that they are far worse at properly identifying darker skinned faces. Overall, this reveals that facial analysis and recognition programs are in need of exterior systems of accountability.

  • New York Times
  • 2018
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