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Robo-Sexism: Gendering AI and Robots

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Abstract

Jennifer Robertson, Professor Emerita, Anthropology and History of Art, University of Michigan

In humans, gender constitutes an array of learned behaviors that are cosmetically enabled and enhanced. Gender(ed) behaviors are both socially and historically shaped and are also contingent upon many situational influences, including individual choices. How is gender assigned in actual (as opposed to fictional) robots? Robertson will explore the sex/gender stereotypes and operational functions informing the design and embodiment of artificial intelligence (AI) and robots, especially humanoids and androids.

Robots have been imagined, designed, and deployed in rhetorical and tangible forms alike to reinforce conservative models of sex/gender roles, ethnic nationalism, and "traditional" family structures. Robertson considers the ramifications of "retro-tech" and also nascent efforts to redress robo-sexism.

This is a University Lecture sponsored by the Cornell Department of History and the University Lectures Committee, co-sponsored by the East Asia Program at Cornell.

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Video of full lecture with presentation slides edited into the video.

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Cornell East Asia Program, Cornell Department of History and the University Lectures Committee

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2022-04-22

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East Asia Program, Cornell University

Keywords

history; East Asia; Japan; Robots; Gender

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https://vimeo.com/703001303

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Government Document

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Attribution-NonCommercial-NoDerivatives 4.0 International

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video/moving image

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Closed captions available

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