Abstract

AI is increasingly intertwinedwith the work of experts. The ubiquitous use of AI algorithms to provideprescription alerts are often faced with experts’ resistance and this canmanifest in the form of experts overriding these prescription alerts. OverridingAI prescriptions limits the potential of AI for the organization. In this fieldstudy, we tracked the actions of 1,039 different physicians when theyencountered AI alerts in a hospital over a period of 22 months. We collected atotal of 43,328 instances of AI alerts and examined the physicians’ overridingbehavior towards these alerts. This paper posits that the physicians’overriding of the alerts are associated with the context and expert’scharacteristics. We argue that how physicians – as experts – construe the AIalerts influences the eventual overriding behavior. We contend for the need tounderstand better the boundary conditions that are associated with excessive AIalert overriding to ensure a better integration of AI with expert work.

Time

2021-01-11（周一）09:00-11:00

Speaker

Le Wang is aPh.D. Candidate in Information Systems at Nanyang Business School, NanyangTechnological University, Singapore. His primary research interests are healthinformatics, application of AI in business, and user behavior in digitalplatforms. Le holds a Bachelor's degree in Logistics Management from OceanUniversity of China and a Master's degree in Management Science and Engineeringfrom Harbin Institute of Technology.

Venue

Zoom会议ID:91765719721

参会链接:https://zoom.com.cn/j/91765719721

密码:123456