| 书目名称 | Understanding the Impact of Machine Learning on Labor and Education |
| 副标题 | A Time-Dependent Tur |
| 编辑 | Joseph Ganem |
| 视频video | |
| 概述 | Presents a novel expansion of the “Turing Test” to include machine learning.Shows the dependency of occupational wages on variations in learning times.Introduces the concept of “comparative learning a |
| 丛书名称 | SpringerBriefs in Philosophy |
| 图书封面 |  |
| 描述 | This book provides a novel framework for understanding and revising labor markets and education policies in an era of machine learning. It posits that while learning and knowing both require thinking, learning is fundamentally different than knowing because it results in cognitive processes that change over time. Learning, in contrast to knowing, requires time and agency. Therefore, “learning algorithms”—that enable machines to modify their actions based on real-world experiences—are a fundamentally new form of artificial intelligence that have potential to be even more disruptive to labor markets than prior introductions of digital technology. To explore the difference between knowing and learning, Turing’s “Imitation Game,”—that he proposed as a test for machine thinking—is expanded to include time dependence. The arguments presented in the book introduce three novel concepts: (1) Comparative learning advantage: This is a concept analogous to comparative labor advantagebut arises from the disparate times required to learn new knowledge bases/skillsets. It is argued that in the future, comparative learning advantages between humans and machines will determine their division of |
| 出版日期 | Book 2023 |
| 关键词 | Comparative Advantage; Economic Philosophy of Labor; Dependence of Lifetime Earnings on Education Leve |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-31004-1 |
| isbn_softcover | 978-3-031-31003-4 |
| isbn_ebook | 978-3-031-31004-1Series ISSN 2211-4548 Series E-ISSN 2211-4556 |
| issn_series | 2211-4548 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 20:09:37
