Intersectional Automations

Robotics, AI, Algorithms, and Equity
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.

Contributor: Jamie Foster Campbell (Contributions by), Kristina M. Green (Contributions by), Joep Bouma (Contributions by), Christopher M. Cox (Contributions by), tobias c. van Veen (Contributions by), Kim Sawchuk (Contributions by), Scott DeJong (Contributions by), Sebastián Gómez (Contributions by), Jordan Canzonetta (Contributions by), Nikila Lakshmanan (Contributions by), Julia A. Empey (Contributions by), Madelaine Ley (Contributions by), Nathan Rambukkana (Contributions by), Nathan Rambukkana (Edited by), Chloé L. Nurik (Contributions by), Maude Gauthier (Contributions by)

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