| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w24690 |
| 来源ID | Working Paper 24690 |
| Economic Policy for Artificial Intelligence | |
| Ajay K. Agrawal; Joshua S. Gans; Avi Goldfarb | |
| 发表日期 | 2018-06-11 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | Recent progress in artificial intelligence (AI) – a general purpose technology affecting many industries - has been focused on advances in machine learning, which we recast as a quality-adjusted drop in the price of prediction. How will this sharp drop in price impact society? Policy will influence the impact on two key dimensions: diffusion and consequences. First, in addition to subsidies and IP policy that will influence the diffusion of AI in ways similar to their effect on other technologies, three policy categories - privacy, trade, and liability - may be uniquely salient in their influence on the diffusion patterns of AI. Second, labor and antitrust policies will influence the consequences of AI in terms of employment, inequality, and competition. |
| 主题 | Industrial Organization ; Industry Studies ; Development and Growth ; Innovation and R& ; D |
| URL | https://www.nber.org/papers/w24690 |
| 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/582362 |
| 推荐引用方式 GB/T 7714 | Ajay K. Agrawal,Joshua S. Gans,Avi Goldfarb. Economic Policy for Artificial Intelligence. 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 | ||
| w24690.pdf（722KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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