Design Justice, AI, and Escape From the Matrix of Domination

2021

Citations in the corpus

• Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “Deliberations about how, for whom, and when to implement research outcomes should involve those that may be affected or whose data is being used (Costanza-Chock, 2018; Design Justice, 2018; Green, 2018)—following the “nothing about us without us” principle stating that no policy should be enacted wi”
• The Values Encoded in Machine Learning Research (2021, neutral): “This contrasts against marginalized scholars’ calls for ML models that allow for non-binaries, plural truths, contextual truths, and many ways of being [13, 18, 26].”
• Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020, background): “, 2019), new recruitment tools discriminating against women (Dastin, 2018), automated airport screening-systems systematically flagging trans bodies for security checks (Costanza-Chock, 2018), and predictive algorithms used to purport that queerness can be identified from facial images alone (Agüera”