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Full Description
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.
Contents
Acknowledgments
Introduction
Part 1: Algorithms, Machine Learning, and Inequity
Chapter 1 Blind Trust, Algorithmic Discrimination, and Self-Regulation in Facebook Advertisements by Chloé L. Nurik
Chapter 2 Faking Age? Ageing and the Algorithmic Assemblage by Kim Sawchuk, Scott DeJong, and Maude Gauthier
Chapter 3 It Was All Fun and Games: Gamewashing Automated Control by Sebastián Gómez
Chapter 4 From Automating to Informating: Toward a Productive Model of Human/Machine Collaboration in Higher Education by Jordan Canzonetta
Part 2: Robots and Social Justice
Chapter 5 The Misogyny of Transhumanism by Nikila Lakshmanan
Chapter 6 Are We All Too Human? Toward an Understanding of Posthumanism and Rights by Julia A. Empey
Chapter 7 Being Sophia: What Makes the World's First Robot Citizen? by Madelaine Ley
Chapter 8 Robosexuality and Its Discontents by Nathan Rambukkana
Chapter 9 Robots as Caretakers: Understanding Long-Term Relationships Between Humans and Carebots by Jamie Foster Campbell and Kristina
