The alignment problem : machine learning and human values / Brian Christian.
By: Christian, Brian [author.].
Publisher: New York, NY : W.W. Norton & Company, ©2020Edition: First edition.Description: 476 p: 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780393635829.Subject(s): Artificial intelligence -- Moral and ethical aspects | Artificial intelligence -- Social aspects | Machine learning -- Safety measures | Software failures | Social valuesGenre/Form: Print books.Summary: "A jaw-dropping exploration of everything that goes wrong when we build AI systems-and the movement to fix them. Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill. When systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. In best-selling author Brian Christian's riveting account, we meet the alignment problem's "first-responders," and learn their ambitious plan to solve it before our hands are completely off the wheel"--Current location | Call number | Status | Date due | Barcode | Item holds |
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On Shelf | Q334.7 .C47 2020 (Browse shelf) | Available | AU00000000017907 |
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Q334.7 .A75 2021 Against reduction : designing a human future with machines / | Q334.7 .A78 2022 Artificial intelligence and its discontents : critiques from the social sciences and humanities | Q334.7 .B53 2022 Ethical machines : your concise guide to totally unbiased, transparent, and respectful AI / | Q334.7 .C47 2020 The alignment problem : machine learning and human values / | Q334.7 .C64 2020 AI ethics / | Q334.7 .C646 2019 A human algorithm : how artificial intelligence is redefining who we are / | Q334.7 .C65 2018 Artifictional intelligence : against humanity's surrender to computers / |
Includes bibliographical references (pages [401]-451) and index.
"A jaw-dropping exploration of everything that goes wrong when we build AI systems-and the movement to fix them. Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill. When systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. In best-selling author Brian Christian's riveting account, we meet the alignment problem's "first-responders," and learn their ambitious plan to solve it before our hands are completely off the wheel"--