data ethics

  • data feminism
  • eg feminist data set by Caroline Sinders https://carolinesinders.com/feminist-data-set/
  • STEM work by and for underrepresented minorities
  • data science as a newer form of power
  • empirically wrong data categorisation, incorrect and unjust binaries
  • data visualisation
  • datasets that are skewed, incomplete or lack diverse representation
    • medical studies historically exclude black women
    • data collection on trans people very poor
      • i’ve seen a bunch of papers on this i just haven’t got round to cataloguing them here
  • data witnessing
  • “All data is historical data, the product of a time, place, political, economic, technical and social climate. If you are not considering why your data exists and other datasets don’t, you are doing data science wrong.” — Melissa Terras (quoted in How AI Image Generators Make Bias Worse)