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Intersectional Automations explores a range of situations where
robotics, biotechnological enhancement, artificial intelligence
(AI), and algorithmic culture collide with intersectional social
justice issues such as race, class, gender, sexuality, ability, and
citizenship. As robots, machine learning applications, and human
augmentics are artifacts of human culture, they sometimes carry
stereotypes, biases, exclusions, and other forms of privilege into
their computational logics, platforms, and/or embodiments. The
essays in this multidisciplinary collection consider how questions
of equity and social justice impact our understanding of these
developments, analyzing not only the artifacts themselves, but also
the discourses and practices surrounding them, including societal
understandings, design choices, law and policy approaches, and
their uses and abuses.
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