题目: Substituting Human Decision-Making with Machine Learning: Implications for Organizational Learning

演讲人: 徐明弢 助理教授

时间：2021年9月17日星期五 10:00-11:30

地点：Zoom会议ID: 82994421158; 密码: 224874

讲座摘要：

The richness of organizational learning relies on the ability of humans to develop diverse patterns of action by actively engaging with their environments and applying substantive rationality. The substitution of human decision-making with machine learning has the potential to alter this richness of organizational learning. Though machine learning is significantly faster and seemingly unconstrained by human cognitive limitations and inflexibility, it is not true sentient learning and relies on formal statistical analysis for decision-making. We propose that the distinct differences between human learning and machine learning risk decreasing the within-organizational diversity in organizational routines and the extent of causal, contextual, and general knowledge associated with routines. We theorize that these changes may affect organizational learning by exacerbating the myopia of learning, and highlight some important contingencies that may mute or amplify the risk of such myopia.

演讲人简历：

Mingtao Xu is an assistant professor of management at the Department of Innovation, Entrepreneurship, and Strategy of the School of Economics and Management, Tsinghua University. Before joining Tsinghua, he worked at Louisiana State University. He received his Ph.D. from Purdue University. His interests include innovation and patent monetization, property rights, and artificial intelligence and strategy. His research has won the Best Student Paper Award of the Strategic Management Division of the Academy of Management. His works have been accepted for publication in journals such as the Academy of Management Review and Organization Science.