Ethical Risk Factors and Mechanisms in Artificial Intelligence Decision Making

While artificial intelligence (AI) technology can enhance social wellbeing and progress, it also generates ethical decision-making dilemmas such as algorithmic discrimination, data bias, and unclear accountability. In this paper, we identify the ethical risk factors of AI decision making from the pe...

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Published inBehavioral sciences Vol. 12; no. 9; p. 343
Main Authors Guan, Hongjun, Dong, Liye, Zhao, Aiwu
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 16.09.2022
MDPI
Subjects
Artificial intelligence
artificial intelligence decision making
Decision making
Emotions
ethical risk
Ethics
mechanism of action
Risk factors
China
Japan
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Summary:While artificial intelligence (AI) technology can enhance social wellbeing and progress, it also generates ethical decision-making dilemmas such as algorithmic discrimination, data bias, and unclear accountability. In this paper, we identify the ethical risk factors of AI decision making from the perspective of qualitative research, construct a risk-factor model of AI decision making ethical risks using rooting theory, and explore the mechanisms of interaction between risks through system dynamics, based on which risk management strategies are proposed. We find that technological uncertainty, incomplete data, and management errors are the main sources of ethical risks in AI decision making and that the intervention of risk governance elements can effectively block the social risks arising from algorithmic, technological, and data risks. Accordingly, we propose strategies for the governance of ethical risks in AI decision making from the perspectives of management, research, and development.
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ISSN:2076-328X
2076-328X
DOI:10.3390/bs12090343