
Contents
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26 Fairness Criteria through the Lens of Directed Acyclic Graphs: A Statistical Modeling Perspective
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Introduction Introduction
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Why We Worry about the Global South Why We Worry about the Global South
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What Is the Global South? What Is the Global South?
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Technology in Other Worlds Technology in Other Worlds
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Facebook in Myanmar Facebook in Myanmar
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A Biometric Identity Database in India A Biometric Identity Database in India
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Refugees and Data Collection in Europe Refugees and Data Collection in Europe
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Chinese Facial Recognition Technology in Zimbabwe Chinese Facial Recognition Technology in Zimbabwe
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AI and the Global South AI and the Global South
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Systems of Discrimination Systems of Discrimination
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Southern Populations Southern Populations
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How International Human Rights Apply How International Human Rights Apply
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Conclusion Conclusion
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Bibliography Bibliography
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31 AI and the Global South: Designing for Other Worlds
Get accessChinmayi Arun, Resident Fellow, Information Society Project at Yale Law School; Affiliate of the Berkman Klein Center for Internet & Society at Harvard University; Assistant Professor of Law, National Law University, Delhi
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Published:09 July 2020
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Abstract
This chapter details how AI affects, and will continue to affect, the Global South. The term “South” has a history connected with the “Third World” and has referred to countries that share postcolonial history and certain development goals. However, scholars have expanded and refined on it to include different kinds of marginal, disenfranchised populations such that the South is now a plural concept—there are Souths. The AI-related risks for Southern populations include concerns of discrimination, bias, oppression, exclusion, and bad design. These can be exacerbated in the context of vulnerable populations, especially those without access to human rights law or institutional remedies. The chapter then outlines these risks as well as the international human rights law that is applicable. It argues that a human rights–centric, inclusive, empowering context-driven approach is necessary.
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