Intersectional Automations

Nathan Rambukkanais assistant professor in communication studies at Wilfrid Laurier University.

• AcknowledgmentsIntroductionPart 1: Algorithms, Machine Learning, and InequityChapter 1 Blind Trust, Algorithmic Discrimination, and Self-Regulation in Facebook Advertisements by Chloé L. NurikChapter 2 Faking Age? Ageing and the Algorithmic Assemblage by Kim Sawchuk, Scott DeJong, and Maude GauthierChapter 3 It Was All Fun and Games: Gamewashing Automated Control by Sebastián GómezChapter 4 From Automating to Informating: Toward a Productive Model of Human/Machine Collaboration in Higher Education by Jordan CanzonettaPart 2: Robots and Social JusticeChapter 5 The Misogyny of Transhumanism by Nikila LakshmananChapter 6 Are We All Too Human? Toward an Understanding of Posthumanism and Rights by Julia A. EmpeyChapter 7 Being Sophia: What Makes the World’s First Robot Citizen? by Madelaine LeyChapter 8 Robosexuality and Its Discontents by Nathan RambukkanaChapter 9 Robots as Caretakers: Understanding Long-Term Relationships Between Humans and Carebots by Jamie Foster Campbell and Kristina

As robots, artificial intelligence, and algorithms become an ever-increasing part of daily life people are struggling to make sense of what the “fourth industrial revolution” will ultimately mean for their relationships and their place in this world. Intersectional Automations: Robotics, AI, Algorithms, and Equity interrogates some of the most pressing questions raised by the proliferation of smart technologies. Unlike much of what has been written about algorithmic and robotic culture, Intersectional Automations does not offer sweeping proclamations of utopian or dystopian futures informed by a single perspective. Instead, Nathan Rambukkana expertly threads together diverse academic voices into a smart edited collection that provides a more complex picture of the implications of emerging technologies and the choices individuals, organizations, and governments make surrounding them. Intersectional Automations is an integral read for scholars seeking a holistic perspective of the intricacies of communication and relationships between humans and machines.