Against Reduction
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 mo...
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| 主要な著者: | , , , , , , , , , |
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| フォーマット: | Online |
| 言語: | 英語 |
| 出版事項: |
The MIT Press
2022
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| 主題: | |
| オンライン･アクセス: | ONIX_20220221_9780262367318_149 |
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| _version_ | 1869515790884012032 |
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| author | Arista, Noelani Costanza-Chock, Sasha Ghazavi, Vafa Kite, Suzanne Klusmeier, Cathryn Lewis, Jason Edward Pechawis, Archer Sawyer, Jaclyn Zhang, Gary Zhexi Zhang, Snoweria |
| author_browse | Arista, Noelani Costanza-Chock, Sasha Ghazavi, Vafa Kite, Suzanne Klusmeier, Cathryn Lewis, Jason Edward Pechawis, Archer Sawyer, Jaclyn Zhang, Gary Zhexi Zhang, Snoweria |
| author_facet | Arista, Noelani Costanza-Chock, Sasha Ghazavi, Vafa Kite, Suzanne Klusmeier, Cathryn Lewis, Jason Edward Pechawis, Archer Sawyer, Jaclyn Zhang, Gary Zhexi Zhang, Snoweria |
| author_sort | Arista, Noelani |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-78629 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | The MIT Press |
| publisherStr | The MIT Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-786292024-04-14T10:28:26Z Against Reduction Arista, Noelani Costanza-Chock, Sasha Ghazavi, Vafa Kite, Suzanne Klusmeier, Cathryn Lewis, Jason Edward Pechawis, Archer Sawyer, Jaclyn Zhang, Gary Zhexi Zhang, Snoweria Artificial intelligence Impact of science and technology on society thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society 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. 2022-02-21T15:13:55Z 2022-02-21T15:13:55Z 2021 book ONIX_20220221_9780262367318_149 9780262367318 9780262543125 https://directory.doabooks.org/handle/20.500.12854/78629 eng The MIT Press image/jpeg n/a https://doi.org/10.7551/mitpress/14157.001.0001 The MIT Press The MIT Press ae0cf962-f685-4933-93d1-916defa5123d 9780262367318 9780262543125 The MIT Press 184 Cambridge open access |
| spellingShingle | Artificial intelligence Impact of science and technology on society thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society Arista, Noelani Costanza-Chock, Sasha Ghazavi, Vafa Kite, Suzanne Klusmeier, Cathryn Lewis, Jason Edward Pechawis, Archer Sawyer, Jaclyn Zhang, Gary Zhexi Zhang, Snoweria Against Reduction |
| title | Against Reduction |
| title_full | Against Reduction |
| title_fullStr | Against Reduction |
| title_full_unstemmed | Against Reduction |
| title_short | Against Reduction |
| title_sort | against reduction |
| topic | Artificial intelligence Impact of science and technology on society thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society |
| topic_facet | Artificial intelligence Impact of science and technology on society thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society |
| url | ONIX_20220221_9780262367318_149 |
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