| Description |
1 online resource (xii, 160 pages) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
Machine generated contents note: 1. Introduction / Teresa Scantamburlo -- I. SETTING THE STAGE -- 2. Shortcuts to Artificial Intelligence / Nello Cristianini -- 3. Mapping the Stony Road toward Trustworthy AI: Expectations, Problems, Conundrums / Pak-Hang Wong -- II. ISSUES -- 4. Issue of Bias: The Framing Powers of Machine Learning / Mireille Hildebrandt -- 5. Adjudicating with Inscrutable Decision Rules / Katherine J. Strandburg -- 6. Cobra AI: Exploring Some Unintended Consequences of Our Most Powerful Technology / Federico Cabitza -- 7. Importance of Prediction in Designing Artificial Intelligence Systems / Viola Schiaffonati -- III. PROSPECTS -- 8. A Human-Centered Agenda for Intelligible Machine Learning / Hanna Wallach -- 9. AI of Ethics / Robert C. Williamson. |
| Summary |
"A collection of critical essays dealing with the social and ethical impacts of AI including issues of trust, reliability, and bias"-- Provided by publisher |
|
Experts from disciplines that range from computer science to philosophy consider the challenges of building AI systems that humans can trust. Artificial intelligence-based algorithms now marshal an astonishing range of our daily activities, from driving a car ("turn left in 400 yards") to making a purchase ("products recommended for you"). How can we design AI technologies that humans can trust, especially in such areas of application as law enforcement and the recruitment and hiring process? In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues. The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the "ethical debts" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a "human-centered AI" to that of an "AI-decentered humanity." Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies. -- Provided by publisher |
| Access |
Concurrent user level: 1 user |
| Subject |
Artificial intelligence -- Moral and ethical aspects.
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Artificial intelligence -- Moral and ethical aspects. |
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Artificial intelligence. |
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Artificial intelligence -- Social aspects.
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Artificial intelligence -- Social aspects. |
| Indexed Term |
COMPUTERS / Intelligence (AI) & Semantics |
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COMPUTERS / Human-Computer Interaction (HCI) |
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COMPUTERS / Social Aspects |
| Added Author |
Pelillo, Marcello, editor.
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Scantamburlo, Teresa, editor.
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| Other Form: |
Print version: Machines we trust. Cambridge, Massachusetts : The MIT Press, [2021] 9780262542098 (DLC) 2020047215 (OCoLC)1201696632 |
| ISBN |
0262366215 (electronic book) |
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9780262366212 (electronic book) |
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9780262362160 (electronic book) |
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0262362163 (electronic book) |
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9780262542098 (paperback) |
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0262542099 (paperback) |
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