An Overview of Artificial Intelligence Ethics
Обзор этики искусственного интеллекта
2022-07-28
SCID: 54.1/wbnj2vt9
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AI ethicsalgorithmic discriminationethical AI evaluationethical risksprivacy leakage
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Abstract (AI)
Artificial intelligence (AI) has profoundly changed and will continue to change our lives. AI is being applied in more and more fields and scenarios such as autonomous driving, medical care, media, finance, industrial robots, and internet services. The widespread application of AI and its deep integration with the economy and society have improved efficiency and produced benefits. At the same time, it will inevitably impact the existing social order and raise ethical concerns. Ethical issues, such as privacy leakage, discrimination, unemployment, and security risks, brought about by AI systems have caused great trouble to people. Therefore, AI ethics, which is a field related to the study of ethical issues in AI, has become not only an important research topic in academia, but also an important topic of common concern for individuals, organizations, countries, and society. This paper will give a comprehensive overview of this field by summarizing and analyzing the ethical risks and issues raised by AI, ethical guidelines and principles issued by different organizations, approaches for addressing ethical issues in AI, methods for evaluating the ethics of AI. Additionally, challenges in implementing ethics in AI and some future perspectives are pointed out. We hope our work will provide a systematic and comprehensive overview of AI ethics for researchers and practitioners in this field, especially the beginners of this research discipline.
Key Findings
1
AI’s expanding use across sectors improves efficiency and societal benefits while disrupting existing social orders and creating ethical concerns.
2
It highlights persistent challenges in implementing ethical AI and outlines future perspectives for addressing them.
3
The abstract identifies privacy leakage, discrimination, unemployment, and security risks as major ethical problems associated with AI systems.
4
The paper systematically reviews AI-related ethical risks, organizational guidelines and principles, mitigation approaches, and methods for evaluating AI ethics.
5
The review aims to provide researchers and practitioners, especially beginners, with a comprehensive and systematic overview of AI ethics.
Research Object
Artificial intelligence (AI) systems and their applications across domains
Research Subject
ethical risks, issues, principles, mitigation approaches, and evaluation methods associated with artificial intelligence
Publication Details
Publication Date
2022-07-28
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References available in scid.ai5
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Can we open the black box of AI?2016
A survey on data‐efficient algorithms in big data era2021