Keywords
Environmental ethics
Gender ethics
Social ethics
How to Cite
Accepted 2024-10-29
Published 2025-01-04
Abstract
Purpose: This study attempts to discuss the ethical issues brought about by the rapid development of artificial intelligence and propose countermeasures, in an attempt to provide a theoretical reference for the governance of artificial intelligence ethical issues and the establishment of an artificial intelligence regulatory framework.
Approach/Methodology/Design: A literature review was conducted using a structured search of various literature sources, including academic, organisational, government grey literature sources and news reports, with primary consideration given to literature published or released since 2010.
Findings: Today, the rapid development of artificial intelligence has led to a wide range of ethical issues. As artificial intelligence technology continues to innovate, discussions on ethical issues must also keep pace with the times. Only artificial intelligence that develops under reasonable and standardized constraints can truly help people create a better life in the future.
Practical Implications: This study analyses the main ethical problems arising from the rapid development of artificial intelligence, specifically from the perspectives of ‘environmental ethics’, ‘gender ethics’ and ‘social ethics’, and proposes corresponding countermeasures. This study analyses the main problems from three perspectives, including ‘environmental ethics’, ‘gender ethics’ and ‘social ethics’, and puts forward corresponding countermeasures, so as to provide theoretical references for the construction of a normative framework for AI ethics and make positive contributions to the promotion of ethical governance of AI.
Originality/value:This paper discusses the latest major ethical issues arising from AI from a new perspective, combining three different perspectives: ‘gender ethics’, ‘environmental ethics’ and ‘social ethics’. This paper is innovative in that it discusses the contradictions caused by artificial intelligence from three different perspectives: ‘gender ethics’, ‘environmental ethics’, and ‘social ethics’, and proposes corresponding countermeasures.
References
Z. Wang, C. Tang, X. Sima and L. Zhang, "Research on Ethical Issues of Artificial Intelligence Technology," 2020 2nd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM), Manchester, United Kingdom, 2020, pp. 390-394.
Du Yanyong. The ethical risks of artificial intelligence ‘resurrecting’ the deceased and their governance [J/OL]. Yunnan Social Sciences, 1-8 [2024-10-19].
Chen Shouzhu. Environmental ethical issues and countermeasures of artificial intelligence technology [J]. Science and Technology Communication, 2019, 11(11): 138-140.
Qin Hao, Wang Yanyue. A brief discussion on the ethical issues and countermeasures of artificial intelligence technology [J]. Journal of Guangxi Education Institute, 2018, (03): 49-52.
Jin Xiangxin. Research on the impact and path of artificial intelligence on employment [J]. Business Economy, 2024, (10): 149-152.
Miao Lin. Discussion on ethical issues in the development of artificial intelligence technology applications [J]. Xueyuan, 2018, 11(30): 16-17.
Wu Dan, Guo Qingyue, Liu Jing. Research on gender equity in artificial intelligence decision-making: components, models and ecosystems [J/OL]. Knowledge of Library and Information, 1-14 [2024-10-19].
Li Junping. Research on the ethical issues and countermeasures of artificial intelligence technology [D]. Wuhan:Wuhan University of Technology, 2013: 27-28.
C. Huang, Z. Zhang, B. Mao and X. Yao, "An Overview of Artificial Intelligence Ethics," in IEEE Transactions on Artificial Intelligence, vol. 4, no. 4, pp. 799-819.
R. S. Geiger et al., “Garbage in, garbage out? Do machine learning application papers in social computing report where human-labeled training data comes from?,” in Proc. Conf. Fairness, Accountability, Transparency, 2020, pp. 325–336.
T. Meek, H. Barham, N. Beltaif, A. Kaadoor and T. Akhter, "Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review," 2016 Portland International Conference on Management of Engineering and Technology (PICMET), Honolulu, HI, USA, 2016, pp. 682-693.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) 2025 Li Yan Zhao li (Author)