The alignment problem : machine learning and human values / Brian Christian.
| Author/creator | Christian, Brian, 1984- author. |
| Format | Book |
| Edition | First edition. |
| Publication | New York, NY : W.W. Norton & Company, [2020] |
| Description | xii, 476 pages ; 25 cm |
| Subjects |
| Portion of title | Machine learning and human values |
| Contents | Prophecy. Representation -- Fairness -- Transparency -- Agency. Reinforcement -- Shaping -- Curiosity -- Normativity. Imitation -- Inference -- Uncertainty. |
| Abstract | "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"--Provided by publisher. |
| Bibliography note | Includes bibliographical references (pages [401]-451) and index. |
| Genre/form | Nonfiction. |
| LCCN | 2020029036 |
| ISBN | 9780393635829 hardcover |
| ISBN | 0393635821 hardcover |
| ISBN | electronic publication |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Joyner | Item has been checked out | Q334.7 .C47 2020 | Due 08/25/2026 | Want This? |