Taming Artificial Intelligence: A Theory of Control-Acountability Alignment among AI Developers and Users

IF 19.3 1区管理学 Q1 BUSINESS Academy of Management Review Pub Date : 2024-10-30 DOI:10.5465/amr.2023.0117

Gudela Grote, Sharon K. Parker, Kevin Crowston

引用次数: 0

Abstract

Academy of Management Review, Volume 0, Issue ja, -Not available-.

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驯服人工智能：人工智能开发者和用户之间的控制-责任一致性理论

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来源期刊

Academy of Management Review Multiple-

CiteScore

24.60

自引率

2.40%

发文量

期刊介绍： The mission of AMR is to publish theoretical insights that advance our understanding of management and organizations. Submissions to AMR must extend theory in ways that develop testable knowledge-based claims. To do this, researchers can develop new management and organization theory, significantly challenge or clarify existing theory, synthesize recent advances and ideas into fresh, if not entirely new theory, or initiate a search for new theory by identifying and delineating a novel theoretical problem. The contributions of AMR articles often are grounded in “normal science disciplines” of economics, psychology, sociology, or social psychology as well as nontraditional perspectives, such as the humanities.

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