Against Reduction : Designing a Human Future with Machines

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Tác giả: Noelani Arista, Sasha Costanza-Chock, Vafa Ghazavi, Suzanne Kite, Cathryn Klusmeier, Jason Edward Lewis, Archer Pechawis, Jaclyn Sawyer, Gary Zhexi Zhang, Snoweria Zhang

Ngôn ngữ: eng

ISBN-13: 978-0262367318

ISBN-13: 978-0262543125

Ký hiệu phân loại: 303.4834 Social change

Thông tin xuất bản: Cambridge : The MIT Press, 2021

Mô tả vật lý: 1 electronic resource (184 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 229188

 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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