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 DaumeĂ© 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.