Privacy (134)

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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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  • Media Type
  • Availability
  • Year
    • 1916 - 1966
    • 1968 - 2018
    • 2019 - 2069
  • Duration
  • 10 min
  • n/a
  • 2018
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In Event of Moon Disaster

Techniques of misinformation are used to make a film about an alternative history in which the Apollo 11 mission failed and the astronauts became stranded on the moon.

  • n/a
  • 2018
  • 15 min
  • n/a
  • 2018
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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.

  • n/a
  • 2018
  • 7 min
  • n/a
  • 2018
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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.

  • n/a
  • 2018
  • 10 min
  • Field of Vision
  • 2017
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Project X: Field of Vision

Video criticising the AT&T and NSA partnership, which allowed the NSA to spy on the UN, the World Bank, etc, by installing its surveillance equipment in AT&T hubs.

  • Field of Vision
  • 2017
  • 15 min
  • n/a
  • 2017
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Public by Default: The Tales of Venmo

An exploration of Venmo transactions for five different randomly selected users. On Venmo, all transactions are public by default, and users can take certain steps to make this information private.

  • n/a
  • 2017
  • 7 min
  • TED
  • 2017
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Justice in the Age of Big Data

Predictive policing software such as PredPol may claim to be objective through mathematical, “colorblind” analyses of geographical crime areas, yet this supposed objectivity is not free of human bias and is in fact used as a justification for the further targeting of oppressed groups, such as poor communities or racial and ethnic minorities. Further, the balance between fairness and efficacy in the justice system must be considered, since algorithms tend more toward the latter than the former.

  • TED
  • 2017
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