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VCUarts Qatar Libraries

VCUarts Qatar Libraries

DESI 512_Studio in Visual Communications

Articles

  • Academic Jathan Sandowski's provocative April 13, 2020 article from Real Life Magazine explores the ways that governments have used crises to ramp up surveillance practices - and how increased surveillance should not be a "trade-off" for public health.
     
  • A February 22, 2017 article from The Intercept explores the public-private surveillance apparatus using Peter Thiel's Palantir as an example.
     
  • The Networked Nature of Algorithmic Discrimination by danah boyd, Karen Levy, and Alice Marwick looks at how Human Resource algorithms use networks like LinkedIn to perpetuate racist presuppositions.
     
  • Shea Swauger's article about privacy concerns with algorithmic test proctoring.
     
  • Article in the Chronicles of Higher Education about privacy concerns in educational technology, and the expansion of educational tech use in remote learning environments.
     
  • A June 2020 article in EdSurge discusses the potential for data from Canvas to get absorbed into other algorithms, including those that determine credit scores.
     
  • University of Washington Professor Anna Lauren Hoffman's April 2018 article about data violence - defined as how data reinforces systemic inequalities, and how this holistically effects marginalized peoples as the algorithm factors into more consequential decision-making.
     
  • The Feminist Data Manifest-No, crafted by a number of data scientists and academics, is a series of declarations about extending a feminist ethics of care to data studies in order to fight harmful data practices. Includes an extensive bibliography called the Manifest-No Playlist.
     
  • Data for Black Lives are activists, organizers, and data scientists that aim to create concrete and measurable change in the lives of Black people by identifying and rooting out oppressive and racist algorithms.
     
  • Data and Society is a New York based group that hosts events examining the social implications of data-centric technologies and automation.
     
  • Data and Society's Algorithmic Accountability: A Primer helps coders identify points in their algorithm that cause harm, creating a framework for algorithmic accountability and data harm reduction.