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Against Reduction

Arista, Noelani - Personal Name;

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.

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Series Title: The MIT Press
Call Number: -
Publisher: Cambridge : The MIT Press., 2021
Collation: 184
Language: English
ISBN/ISSN: 9780262367318
Classification: NONE
Content Type: text
Media Type: computer
Carrier Type: online resource
Edition: -
Subject(s): Artificial Intelligence
Impact of science and technology on society
Specific Detail Info: -
Statement of Responsibility: -

Other Information

Cataloger: Candra
Source: https://directory.doabooks.org/handle/20.500.12854/78629
Validator: Candra
Digital Object Identifier (DOI): https://doi.org/10.7551/mitpress/14157.001.0001
Journal Volume: -
Journal Issue: -
Subtitle: -
Parallel Title: -

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Against Reduction : Designing a Human Future with Machines

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