| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w30177 |
| 来源ID | Working Paper 30177 |
| Prediction Machines, Insurance, and Protection: An Alternative Perspective on AI's Role in Production | |
| Ajay K. Agrawal; Joshua S. Gans; Avi Goldfarb | |
| 发表日期 | 2022-06-27 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | Recent advances in AI represent improvements in prediction. We examine how decision-making and risk management strategies change when prediction improves. The adoption of AI may cause substitution away from risk management activities used when rules are applied (rules require always taking the same action), instead allowing for decision-making (choosing actions based on the predicted state). We provide a formal model evaluating the impact of AI and how risk management, stakes, and inter-related tasks affect AI adoption. The broad conclusion is that AI adoption can be stymied by existing processes designed to address uncertainty. In particular, many processes are designed to enable coordinated decision-making among different actors in an organization. AI can make coordination even more challenging. However, when the cost of changing such processes falls, then the returns from AI adoption increase. |
| 主题 | Microeconomics ; Economics of Information ; Development and Growth ; Innovation and R& ; D |
| URL | https://www.nber.org/papers/w30177 |
| 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/587850 |
| 推荐引用方式 GB/T 7714 | Ajay K. Agrawal,Joshua S. Gans,Avi Goldfarb. Prediction Machines, Insurance, and Protection: An Alternative Perspective on AI's Role in Production. 2022. |
| 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 | ||
| w30177.pdf（403KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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