| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w24839 |
| 来源ID | Working Paper 24839 |
| Artificial Intelligence, Economics, and Industrial Organization | |
| Hal Varian | |
| 发表日期 | 2018-07-23 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | Machine learning (ML) and artificial intelligence (AI) have been around for many years. However, in the last 5 years, remarkable progress has been made using multilayered neural networks in diverse areas such as image recognition, speech recognition, and machine translation. AI is a general purpose technology that is likely to impact many industries. In this chapter I consider how machine learning availability might affect the industrial organization of both firms that provide AI services and industries that adopt AI technology. My intent is not to provide an extensive overview of this rapidly-evolving area, but instead to provide a short summary of some of the forces at work and to describe some possible areas for future research. |
| 主题 | Industrial Organization |
| URL | https://www.nber.org/papers/w24839 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/582513 |
| 推荐引用方式 GB/T 7714 | Hal Varian. Artificial Intelligence, Economics, and Industrial Organization. 2018. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w24839.pdf（341KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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