READINGS

Articles and Research Papers

  • David Takacs. 2003. How Does Your Positionality Bias Your Epistemology? Thought & Action Thought & Action 27. Available at: https://repository.uchastings.edu/faculty_scholarship/1264.
  • Donna Haraway. 1987. A manifesto for Cyborgs: Science, technology, and socialist feminism in the 1980s Australian Feminist Studies, 2:4, 1-42. DOI: 10.1080/08164649.1987.9961538
  • Roel Dobbe, Sarah Dean, Thomas Gilbert, and Nitin Kohli. 2018. A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics. In Proceedings of the 5th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Stockholm, Sweden. Available at: https://arxiv.org/abs/1807.00553.
  • Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumeé III, and Kate Crawford. 2018. Datasheets for Datasets. In Proceedings of the 5th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Stockholm, Sweden. Available at: https://arxiv.org/abs/1803.09010.
  • Keyes, Os. (2019, April 08). Counting the Countless. Retrieved from https://reallifemag.com/counting-the-countless/

Books and Book Chapters

  • Geoffrey Bowker and Susan Leigh Star. 2000. Sorting things out: Classification and its consequences. MIT Press.
  • Steven Epstein. 1998. Impure Science: AIDS, Activism, and the Politics of Knowledge. University of California Press.
  • Helen E. Longino. 1990. Science as Social Knowledge: Values and Objectivity in Scientific Inquiry. Princeton University Press.
  • Michael E. Gorman. 2010. Trading Zones and Interactional Expertise: Creating New Kinds of Collaboration. MIT Press.
  • David Weinberger. 2008. Everything Is Miscellaneous: The Power of the New Digital Disorder. Henry Holt and Co., Inc.