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【经管大讲堂2023第110期】

时间:2023-10-27作者: 审核: 来源:德赢官网下载点击:213

报告题目:A Field Experiment on AI-Assisted Physicians

报告所属学科:应用经济学

报告人:谭寅亮 (美国休斯顿大学)

报告时间:2023年11月10日 10:00-12:00

报告地点:腾讯会议 603-705-941

报告摘要:

AI assistants—software agents that can perform tasks or services for individuals—are among the most promising AI applications. However, little is known about the adoption of AI assistants by service providers (i.e., physicians) in a real-world healthcare setting. Specifically, we investigate the impact of AI smartness—whether the AI assistant is empowered by machine learning intelligence—and AI transparency—whether physicians are informed of the assistant feature. We collaborate with a leading healthcare platform to run a field experiment in which we compare physicians’ adoption behavior, i.e., adoption rate and adoption timing, of smart and automated AI assistants under transparent and non-transparent conditions. We find that AI smartness can increase the adoption rate and shorten the adoption timing, while AI transparency can only shorten the adoption timing. Moreover, the impact of transparency on the adoption rate is contingent on the smartness level of the assistant: AI transparency increases the adoption rate only when the AI assistant is not equipped with smart algorithms and fails to do so when the assistant is smart. Our study can guide platforms in designing their AI strategies. In particular, platforms should develop and apply smart AI algorithms in a

iding physicians, and also keep physicians informed on such development and application, especially when the smartness level of the algorithms is low.

报告人简介:

谭寅亮博士是美国休斯顿大学鲍尔商学院决策和信息科学终身教授,鲍尔讲席教授,以及供应链管理方向系主任。他同时还担任慧与科技数据科学研究中心 资深研究员。谭寅亮博士毕业于美国佛罗里达大学沃灵顿商学院,学习运营管理及信息系统。他拥有丰富的商业分析方面的教学经验,获得过弗里曼商学院年度最佳教师奖。其研究兴趣主要集中在数字经济,以及科技管理与创新等领域。他在国际顶级期刊(UTD 24种期刊)Management Science, MIS Quarterly, Information Systems Research, Production and Operations Management等发表超过20篇论文。谭教授现在担任Production and Operations Management(国际顶级期刊)的资深编辑, Decision Sciences Journal的部门编辑, 以及Information & Management的副编辑和Information Systems Research (ISR)的编委会成员。他于2019年被评为世界最佳40名40岁以下的商学院教授, 同年他获得了国际决策科学学会颁发的早期职业成就奖。他于2022年获得INFORMS 信息系统学会颁发的 Sandy Slaughter 早期职业成就奖,2023年度获得国际工业工程与运营管理学会颁发(IEOM Society International)的全球供应链与物流大奖以表彰其对领域做出的贡献。


学院地址:江苏省南京市江宁区将军大道29号

邮政编码:211106

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