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Noelani Arista, Sasha Costanza-Chock, Vafa Ghazavi, Suzanne Kite, Cathryn Klusmeier ...
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Noelani Arista, Sasha Costanza-Chock, Vafa Ghazavi, Suzanne Kite, Cathryn Klusmeier ...
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Book Chapter
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0001
EISBN: 9780262367318
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0002
EISBN: 9780262367318
Book Chapter
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0003
EISBN: 9780262367318
Book Chapter
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0004
EISBN: 9780262367318
Book Chapter
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0005
EISBN: 9780262367318
Book Chapter
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0006
EISBN: 9780262367318
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0007
EISBN: 9780262367318
Book Chapter
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0008
EISBN: 9780262367318
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0009
EISBN: 9780262367318
Book Chapter
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0010
EISBN: 9780262367318
Book Chapter
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0011
EISBN: 9780262367318
Book Chapter
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.003.0012
EISBN: 9780262367318
Publisher: The MIT Press
Published: 05 October 2021
DOI: 10.7551/mitpress/14157.001.0001
EISBN: 9780262367318
Provocative, hopeful essays imagine a future that is not reduced to algorithms. What is human flourishing in an age of machine intelligence, when many claim that the world's most complex problems can be reduced to narrow technical questions? Does more computing make us more intelligent, or simply more computationally powerful? We need not always resist reduction; our ability to simplify helps us interpret complicated situations. The trick is to know when and how to do so. Against Reduction offers a collection of provocative and illuminating essays that consider different ways of recognizing and addressing the reduction in our approach to artificial intelligence, and ultimately to ourselves. Inspired by a widely read manifesto by Joi Ito that called for embracing the diversity and irreducibility of the world, these essays offer persuasive and compelling variations on resisting reduction. Among other things, the writers draw on Indigenous epistemology to argue for an extended “circle of relationships” that includes the nonhuman and robotic; cast “Snow White” as a tale of AI featuring a smart mirror; point out the cisnormativity of security protocol algorithms; map the interconnecting networks of so-called noncommunicable disease; and consider the limits of moral mathematics. Taken together, they show that we should push back against some of the reduction around us and do whatever is in our power to work toward broader solutions.