Organizational Decision-Making Structures in the Age of Artificial Intelligence

Yash Raj Shrestha, Shiko M. Ben-Menahem, and Georg von Krogh

Abstract: How does organizational decision-making change with the advent of artificial intelligence (AI)-based decision-making algorithms? This article identifies the idiosyncrasies of human and AI-based decision making along five key contingency factors: specificity of the decision search space, interpretability of the decisionmaking process and outcome, size of the alternative set, decision-making speed, and replicability. Based on a comparison of human and AI-based decision making along these dimensions, the article builds a novel framework outlining how both modes of decision making may be combined to optimally benefit the quality of organizational decision making. The framework presents three structural categories in which decisions of organizational members can be combined with AI-based decisions: full human to AI delegation; hybrid—human-to-AI and AI-to-human—sequential decision making; and aggregated human–AI decision making.

Keywords: decision making, artificial intelligence, algorithms, organizational structure, delegation

人工智能时代的组织决策结构

Yash Raj Shrestha、Shiko M. Ben-Menahem 和 Georg von Krogh

摘要：随着基于人工智能（AI）的决策算法的出现，组织决策会发生怎样的变化？本文从决策搜索空间的特异性、决策过程和结果的可解释性、备选方案集的规模、决策速度和可复制性这五个关键应急因素出发，指出了人类决策和基于人工智能的决策的特异性。基于对人类决策和人工智能决策在这些方面的比较，文章建立了一个新颖的框架，概述了如何将这两种决策模式结合起来，以优化组织决策的质量。该框架提出了可将组织成员的决策与基于人工智能的决策结合起来的三个结构类别：完全由人类向人工智能授权；人类向人工智能和人工智能向人类的混合序列决策；以及人类向人工智能的聚合决策。

关键词：决策、人工智能、算法、组织结构、授权

来源：Shrestha, Y. R., Ben-Menahem, S. M., & Von Krogh, G. (2019). Organizational decision-making structures in the age of artificial intelligence. California management review, 61(4), 66-83.