计算机科学
人机系统
决策工程
人类智力
背景(考古学)
商业决策图
动态决策
知识管理
人工智能
决策者
事件(粒子物理)
决策分析
机器学习
决策支持系统
数据科学
管理科学
工程类
物理
古生物学
统计
生物
量子力学
数学
作者
Xiong Wei,Hongmiao Fan,Liang Ma,Chen Wang
标识
DOI:10.1007/s42524-021-0182-0
摘要
Abstract The purpose of this paper is to delineate the research challenges of human—machine collaboration in risky decision-making. Technological advances in machine intelligence have enabled a growing number of applications in human—machine collaborative decision-making. Therefore, it is desirable to achieve superior performance by fully leveraging human and machine capabilities. In risky decision-making, a human decision-maker is vulnerable to cognitive biases when judging the possible outcomes of a risky event, whereas a machine decision-maker cannot handle new and dynamic contexts with incomplete information well. We first summarize features of risky decision-making and possible biases of human decision-makers therein. Then, we argue the necessity and urgency of advancing human—machine collaboration in risky decision-making. Afterward, we review the literature on human—machine collaboration in a general decision context, from the perspectives of human—machine organization, relationship, and collaboration. Lastly, we propose challenges of enhancing human—machine communication and teamwork in risky decision-making, followed by future research avenues.
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