списки для чтения
феминистская критика, деколониальный подход и data justice
  1. Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim Code. Polity Press.
  2. D’Ignazio, C., & Klein, L. F. (2020). Seven intersectional feminist principles for equitable and actionable COVID-19 data. Big Data & Society, 7(2). doi.org/10.1177/2 053 951 720 942 544
  3. Mohamed, S., Png, M. T., & Isaac, W. (2020). Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence. Philosophy & Technology, 33(4), 659−684. doi.org/10.1007/s13347−020−405−8
  4. Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.
  5. Taylor, L. (2017). What is data justice? The case for connecting digital rights and freedoms globally. Big Data & Society, 4(2). doi.org/10.1177/2 053 951 717 736 335
  6. Taylor, L., de Souza, S. P., Martin, A., & López-Solano, J. (2025). Governing artificial intelligence means governing data: (Re)setting the agenda for data justice. Dialogues on Digital Society. doi.org/10.21428/c3c0cf6c.9cccd0fc