人工智能和极端不确定性

IF 3.4 3区 管理学 Q2 MANAGEMENT European Management Review Pub Date : 2023-12-12 DOI:10.1111/emre.12630
Ann-Kristin Weiser, Georg von Krogh
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引用次数: 0

摘要

人工智能(AI)为增强人类在极端不确定性下的决策提供了新的可能性。这篇观点评论探讨了人工智能如何放宽有界理性的限制。它提供了一个框架,用于分析人工智能如何通过增强关键决策子过程来支持面临深度不确定性的人类决策者。具体来说,人工智能可以通过扫描环境来帮助制定议程,通过提供背景洞察力来制定问题,通过组合能力来识别创造性的替代方案,通过模拟情景来选择选项,并实现快速实验周期。本观点评论将人工智能的作用与本特刊中的文章联系起来,最后概述了人工智能和增强型人类智能在极端不确定性条件下决策功能的未来研究方向。
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Artificial intelligence and radical uncertainty
Artificial intelligence (AI) offers new possibilities to augment human decision-making under radical uncertainty. This viewpoint commentary explores how AI can relax limits of bounded rationality. It offers a framework for analyzing how AI can support human decision-makers confronted with deep uncertainty by bolstering key decision-making sub-processes. Specifically, AI can help set agendas by scanning environments, formulate problems by providing contextual insights, identify creative alternatives through combinatorial abilities, select options by modelling scenarios and enable rapid experimentation cycles. Connecting the role of AI with the contributions in this special issue, this viewpoint commentary concludes by outlining directions for future research regarding the function of AI and augmented human intelligence in decision-making under conditions of radical uncertainty.
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来源期刊
CiteScore
7.20
自引率
13.50%
发文量
52
期刊介绍: The European Management Review is an international journal dedicated to advancing the understanding of management in private and public sector organizations through empirical investigation and theoretical analysis. The European Management Review provides an international forum for dialogue between researchers, thereby improving the understanding of the nature of management in different settings and promoting the transfer of research results to management practice. Although one of the European Management Review"s aims is to foster the general advancement of management scholarship among European scholars and/or those academics interested in European management issues.
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