Five Maturity Levels of Managing AI: From Isolated Ignorance to Integrated Intelligence

Q2 Engineering
U. Lichtenthaler
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引用次数: 13

Abstract

To guide future discussions about managing artificial intelligence (AI), this article suggests an AI management framework with five maturity levels, which are comparable to the five levels of the autonomous driving framework from no automation to complete automation. If companies move beyond Isolated Ignorance (Level 0), they are characterized by an Initial Intent (Level 1), which typically evolves towards an Independent Initiative (Level 2). A more advanced management leads to Interactive Implementation (Level 3) and Interdependent Innovation (Level 4). On this basis, a close combination of AI and human knowledge enables a sustainable competitive advantage with Integrated Intelligence (Level 5). This framework draws on the intelligence-based approach to company performance, and it provides the basis for an AI maturity assessment in organizations. It further helps to identify many firms’ managerial challenges as well as major organizational limitations even in those firms that are often considered as AI leaders.
管理人工智能的五个成熟度:从孤立的无知到综合智能
为了指导未来关于管理人工智能的讨论,本文提出了一个具有五个成熟度级别的人工智能管理框架,这些成熟度级别可与自动驾驶框架从无自动化到完全自动化的五个级别相媲美。如果公司超越了孤立无知(0级),它们的特征是初始意图(1级),通常会演变为独立倡议(2级)。更先进的管理导致了交互实施(第3级)和相互依赖的创新(第4级)。在此基础上,人工智能和人类知识的紧密结合使综合智能(5级)具有可持续的竞争优势。该框架借鉴了基于智能的公司绩效方法,为组织中的人工智能成熟度评估提供了基础。它进一步有助于识别许多公司的管理挑战以及主要的组织局限性,即使在那些经常被认为是人工智能领导者的公司中也是如此。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Innovation Management
Journal of Innovation Management Engineering-Engineering (miscellaneous)
CiteScore
3.50
自引率
0.00%
发文量
21
审稿时长
25 weeks
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