发布者:管理科学与工程系 时间:2025-12-24
主讲人:新加坡国立大学 Hock-Hai Teo 教授
时 间:2025年12月24日 10:00
地 点:商学院大楼405
主持人:李嘉 教授
题目:Designing AI-Based Work Processes: How the Timing of AI Advice Affects Diagnostic Decision Making
摘要:Although clinical artificial intelligence (AI) systems can augment medical diagnosis decisions by providing competent second opinions, how to effectively integrate AI into routine diagnostic processes, such as when to present AI advice to human physicians, remains largely unexplored. Therefore, our research experimentally examines how the timing of AI advice affects diagnostic decision making using a think-aloud approach. Physicians perform medical diagnoses under three conditions: ex post advice (AI advice given after an initial diagnosis), ex ante advice (AI advice given concurrently with clinical information), and a control condition (no AI advice). Our results indicate that the timing of AI advice significantly affects diagnostic accuracy and calibration, with the ex post advice condition yielding the best performance and the control condition the worst. We then conduct several analyses to disentangle the underlying mechanism. We reveal that the superior diagnostic quality in the ex post advice condition can be attributed to more thorough clinical information processing and more active cognitive engagement with AI’s reasoning rationale. As a result, participants in the ex post advice condition are more capable of differentiating correct from incorrect AI advice than those in the ex ante advice condition. Additionally, they benefit more from high-quality AI advice that contradicts their initial diagnoses. To gain additional insights, we estimate the heterogeneous treatment effects based on physician and clinical case characteristics. Our findings underscore the importance of presenting AI advice at appropriate times during routine diagnostic processes to achieve successful decision augmentation with AI advice.
主讲人简介:
Hock-Hai Teo是新加坡国立大学计算机学院信息系统与分析系的教务长讲席教授。他目前正全力推进三个重点项目:1)运用医疗物联网(IoT)优化流程,提升医疗服务模式与成效;2)塑造新加坡中小企业在数字经济时代的创新能力;3)通过自适应定制化学习平台优化教学内容传递与能力培养,提升学生学习成效。
Hock-Hai Teo现任副校长(研究与技术)办公室人文与社会科学研究主任。此前曾任计算机学院副院长(企业传播)及信息系统系主任。在系主任任期内,他成功提升该系在本地及国际上的知名度与声誉。如今该系已成为全球信息系统与分析领域最具产出力的研究部门之一。在政府机构大力支持下,他协助学院创立战略技术管理研究院与健康信息学中心,作为产业合作与高管教育的平台,并推出全球首创的商业分析学士学位课程,以满足行业对数据科学人才的需求。因其在信息系统领域研究、教学及服务方面的卓越贡献,信息系统协会授予他AIS会士称号。
Hock-Hai Teo先后获得新加坡国立大学信息系统博士学位、计算机与信息科学硕士学位及学士学位,并曾作为访问学者(博士后)在宾夕法尼亚大学沃顿商学院深造。其研究成果发表于MIS Quarterly, Information Systems Research, Management Science, Journal of Management Information Systems, Journal of Association of Information Systems, International Journal of Information Management, Information & Management, Academy of Management Proceedings等权威学术刊物。