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Ethical Management of Artificial Intelligence

1
Business Informatics, Especially Intelligent Systems and Services, Technische Universität Dresden, 01169 Dresden, Germany
2
Information Systems & Industrial Services, University of Bremen, 28334 Bremen, Germany
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Information Management, University of Goettingen, 37073 Göttingen, Germany
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Professional Communication in Electronic Media/Social Media, University of Duisburg-Essen, 47057 Duisburg, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Alessio Ishizaka
Sustainability 2021, 13(4), 1974; https://doi.org/10.3390/su13041974
Received: 29 January 2021 / Revised: 31 January 2021 / Accepted: 2 February 2021 / Published: 12 February 2021
(This article belongs to the Section Sustainable Management)
With artificial intelligence (AI) becoming increasingly capable of handling highly complex tasks, many AI-enabled products and services are granted a higher autonomy of decision-making, potentially exercising diverse influences on individuals and societies. While organizations and researchers have repeatedly shown the blessings of AI for humanity, serious AI-related abuses and incidents have raised pressing ethical concerns. Consequently, researchers from different disciplines widely acknowledge an ethical discourse on AI. However, managers—eager to spark ethical considerations throughout their organizations—receive limited support on how they may establish and manage AI ethics. Although research is concerned with technological-related ethics in organizations, research on the ethical management of AI is limited. Against this background, the goals of this article are to provide a starting point for research on AI-related ethical concerns and to highlight future research opportunities. We propose an ethical management of AI (EMMA) framework, focusing on three perspectives: managerial decision making, ethical considerations, and macro- as well as micro-environmental dimensions. With the EMMA framework, we provide researchers with a starting point to address the managing the ethical aspects of AI. View Full-Text
Keywords: artificial intelligence; ethical management; research directions artificial intelligence; ethical management; research directions
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MDPI and ACS Style

Brendel, A.B.; Mirbabaie, M.; Lembcke, T.-B.; Hofeditz, L. Ethical Management of Artificial Intelligence. Sustainability 2021, 13, 1974. https://doi.org/10.3390/su13041974

AMA Style

Brendel AB, Mirbabaie M, Lembcke T-B, Hofeditz L. Ethical Management of Artificial Intelligence. Sustainability. 2021; 13(4):1974. https://doi.org/10.3390/su13041974

Chicago/Turabian Style

Brendel, Alfred B.; Mirbabaie, Milad; Lembcke, Tim-Benjamin; Hofeditz, Lennart. 2021. "Ethical Management of Artificial Intelligence" Sustainability 13, no. 4: 1974. https://doi.org/10.3390/su13041974

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