Algorithmic Bias (23)

Algorithms selectively favoring certain groups or demographics.

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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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Technologies
  • AI
  • Big Data
  • Bioinformatics
  • Blockchain
  • Immersive Technology
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  • Year
    • 1916 - 1966
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    • 2019 - 2069
  • Duration
  • 5 min
  • MIT Technology Review
  • 2019
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This is how AI bias really happens—and why it’s so hard to fix

Introduction to how bias is introduced in algorithms during the data preparation stage, which involves selecting which attributes you want the algorithm to consider. Underlines the difficult nature of ameliorating bias in machine learning, given that algorithms are not always perfectly attuned to human social contexts.

  • MIT Technology Review
  • 2019
  • 5 min
  • Wired
  • 2019
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This dating app exposes the monstrous bias of algorithms

Monster Match, a game funded by Mozilla, shows how dating app algorithms are reinforcing bias through combining personal and mass aggregated data to systematically hide a vast number of profiles from user sight, effectively caging users into narrow preferences.

  • Wired
  • 2019
  • 5 min
  • Wall Street Journal
  • 2019
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Investors Urge AI Startups to Inject Early Dose of Ethics

Incorporation of ethical practices and outside perspectives in AI companies for bias prevention is beneficial, and becoming more popular. Spawns from a need for consistent human oversight in algorithms.

  • Wall Street Journal
  • 2019
  • 5 min
  • Wired
  • 2019
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Taser User Says It Wont Use Biometrics In BodyCams

Axon’s novel use of an ethics committee led to a decision to not use facial recognition programs on the body cameras which they provide to police department, on the basis of latent racial bias and privacy concerns. While this is a beneficial step, companies and government offices at multiple levels debate over when and how facial recognition should be deployed and limited.

  • Wired
  • 2019
  • 40 min
  • New York Times
  • 2021
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She’s Taking Jeff Bezos to Task

As facial recognition technology becomes more prominent in everyday life, used by players such as law enforcement officials and private actors to identify faces by comparing them with databases, AI ethicists/experts such as Joy Buolamwini push back against the many forms of bias that these technologies show, specifically racial and gender bias. Governments often use such technologies callously or irresponsibly, and lack of regulation on the private companies which sell these products could lead society into a post-privacy era.

  • New York Times
  • 2021