| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w26673 |
| 来源ID | Working Paper 26673 |
| The Allocation of Decision Authority to Human and Artificial Intelligence | |
| Susan C. Athey; Kevin A. Bryan; Joshua S. Gans | |
| 发表日期 | 2020-01-20 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | The allocation of decision authority by a principal to either a human agent or an artificial intelligence (AI) is examined. The principal trades off an AI’s more aligned choice with the need to motivate the human agent to expend effort in learning choice payoffs. When agent effort is desired, it is shown that the principal is more likely to give that agent decision authority, reduce investment in AI reliability and adopt an AI that may be biased. Organizational design considerations are likely to impact on how AI’s are trained. |
| 主题 | Microeconomics ; Game Theory ; Other ; Accounting, Marketing, and Personnel ; Development and Growth ; Innovation and R& ; D |
| URL | https://www.nber.org/papers/w26673 |
| 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/584347 |
| 推荐引用方式 GB/T 7714 | Susan C. Athey,Kevin A. Bryan,Joshua S. Gans. The Allocation of Decision Authority to Human and Artificial Intelligence. 2020. |
| 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 | ||
| w26673.pdf（236KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
