与人工智能一起工作:对合理集成的分析

IF 1 3区 经济学 Q3 ECONOMICS
David Lagziel, Yevgeny Tsodikovich
{"title":"与人工智能一起工作:对合理集成的分析","authors":"David Lagziel,&nbsp;Yevgeny Tsodikovich","doi":"10.1016/j.geb.2025.06.009","DOIUrl":null,"url":null,"abstract":"<div><div>A decision maker (DM) uses an AI agent to estimate an unknown state, for which both possess informative private signals. Conditional on the state and the DM's final assessment, he prefers the AI's recommendations to be incorrect, thus affirming his own superiority or sharing the blame. Our analysis indicates that the correctness of the process is not a monotone function of participants' expertise levels: (i) a less accurate AI may lead to improved outcomes by reducing the DM's reliance on it, and (ii) a less accurate DM can enhance information aggregation leading to a superior result.</div></div>","PeriodicalId":48291,"journal":{"name":"Games and Economic Behavior","volume":"153 ","pages":"Pages 254-267"},"PeriodicalIF":1.0000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Working with AI: An analysis for rational integration\",\"authors\":\"David Lagziel,&nbsp;Yevgeny Tsodikovich\",\"doi\":\"10.1016/j.geb.2025.06.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A decision maker (DM) uses an AI agent to estimate an unknown state, for which both possess informative private signals. Conditional on the state and the DM's final assessment, he prefers the AI's recommendations to be incorrect, thus affirming his own superiority or sharing the blame. Our analysis indicates that the correctness of the process is not a monotone function of participants' expertise levels: (i) a less accurate AI may lead to improved outcomes by reducing the DM's reliance on it, and (ii) a less accurate DM can enhance information aggregation leading to a superior result.</div></div>\",\"PeriodicalId\":48291,\"journal\":{\"name\":\"Games and Economic Behavior\",\"volume\":\"153 \",\"pages\":\"Pages 254-267\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2025-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Games and Economic Behavior\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0899825625000934\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Games and Economic Behavior","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0899825625000934","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

决策者(DM)使用人工智能代理来估计未知状态,两者都具有信息私有信号。在国家和DM最终评估的条件下,他宁愿人工智能的建议是不正确的,从而肯定自己的优势或分担责任。我们的分析表明,该过程的正确性不是参与者专业水平的单调函数:(i)不太准确的人工智能可能通过减少决策制定者对它的依赖而改善结果,(ii)不太准确的决策制定者可以增强信息聚合,从而获得更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Working with AI: An analysis for rational integration
A decision maker (DM) uses an AI agent to estimate an unknown state, for which both possess informative private signals. Conditional on the state and the DM's final assessment, he prefers the AI's recommendations to be incorrect, thus affirming his own superiority or sharing the blame. Our analysis indicates that the correctness of the process is not a monotone function of participants' expertise levels: (i) a less accurate AI may lead to improved outcomes by reducing the DM's reliance on it, and (ii) a less accurate DM can enhance information aggregation leading to a superior result.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.90
自引率
9.10%
发文量
148
期刊介绍: Games and Economic Behavior facilitates cross-fertilization between theories and applications of game theoretic reasoning. It consistently attracts the best quality and most creative papers in interdisciplinary studies within the social, biological, and mathematical sciences. Most readers recognize it as the leading journal in game theory. Research Areas Include: • Game theory • Economics • Political science • Biology • Computer science • Mathematics • Psychology
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信