Participatory ethical regulations: Risk challenges of artificial intelligence era and construction of governance logic

Authors

Chenggang ZHANG, Department of Sociology, School of Social Sciences, Tsinghua University, Beijing 100084, China; Chinese Association of Development Strategy Studies, Beijing 100190, ChinaFollow
Lu PAN, Beijing Academy of Social Sciences, Beijing 100101, China

Keywords

new technological revolution; artificial intelligence; risk challenges; social governance; ethical regulations

Document Type

Ethical Risk of Frontier S & T and Its Governance

Abstract

Participatory ethical norms emphasize the involvement of diverse stakeholders, aiming to construct a more comprehensive and balanced ethical governance framework. The rapid development of artificial intelligence (AI) technology is leading society through unprecedented transformations, significantly impacting ethical perspectives, social governance models, and the symbiotic relationship between humans and technology. The participatory ethical norms, characterized by multi-stakeholder participation, interactivity, and openness, represent a crucial pathway for addressing the challenges posed by the rapid development of AI technology. Constructing an AI governance framework based on participatory ethical norms provides solutions for the sustainable, fair, and transparent development of AI from multiple aspects including principles, boundaries, and pathways, addressing ethical risks and challenges across technological, cultural, economic, and social dimensions. As an emerging governance framework, participatory ethical norms reflect human-centric values, enhance governance efficiency and fairness, strengthen the balance of rights and shared responsibilities among diverse stakeholders, and promote the synergistic advancement of ethical standards and technological innovation, fostering harmonious coexistence between AI and human society. Based on this, the study proposes recommendations for legislation, dynamic adjustment of AI ethical assessment systems, enhanced education and training with active international cooperation, and the introduction of a “sandbox mechanism” for regulatory pilots, thereby appropriately addressing future risks in the governance of intelligent society.

First page

1860

Last Page

1870

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 Ward S J A, Wasserman H. Towards an open ethics: Implications of new media platforms for global ethics discourse. Journal of Mass Media Ethics, 2010, 25(4): 275-292.

2 利尔·亚当. 未来的夏娃. 李颦儿, 闭朝莲, 译. 北京: 北京理工大学出版社, 2013.Adam V. The Future Eve. Translated by Li P E, Bi Z L. Beijing: Beijing Institute of Technology Press, 2013. (in Chinese)

3 艾萨克·阿西莫夫.我，机器人. 叶李华, 译. 江苏: 江苏凤凰文艺出版社出版, 2013.Asimov I. I, Robot. Translated by Ye L H. Jiangsu: Jiangsu Phoenix Literature and Art Publishing House, 2013. (in Chinese)

4 赵梓羽. 生成式人工智能数据安全风险及其应对. 情报资料工作, 2024, 45(2): 30-37.Zhao Z Y. Data security risks and countermeasures of generative artificial intelligence. Information and Documentation Services, 2024, 45(2): 30-37. (in Chinese)

5 杨建军. 数字治理的法治进路. 比较法研究, 2023, (5): 1-19.Yang J J. Legal approach to digital governance. Journal of Comparative Law, 2023, (5): 1-19. (in Chinese)

6 余雅风, 王朝夷. 由技术伦理向法律规范演进：国外人工智能应用规范研究综述. 河北法学, 2023, 41(2): 83-101.Yu Y F, Wang C Y. Evolution from ethics to law: A foreign literature review of research on regulations of artificial intelligence. Hebei Law Science, 2023, 41(2): 83-101. (in Chinese)

7 Ryan M. In AI we trust: Ethics, artificial intelligence，and reliability. Science and Engineering Ethics, 2020, 26(5): 2749-2767.

8 Cornwall A. Unpacking ‘Participation’: Models, meanings and practices. Community Development Journal, 2008, 43(3): 269-283.

9 Malone R E, Yerger V B, McGruder C, et al. “It’s like Tuskegee in reverse”: A case study of ethical tensions in institutional review board review of community-based participatory research. American Journal of Public Health, 2006, 96(11): 1914-1919.

10 张成岗. 人工智能的社会治理：构建公众从“被负责任”到“负责任”的理论通道. 中国科技论坛, 2019, (9): 1-4.Zhang C G. Social governance of artificial intelligence: Constructing a theoretical Evolution from ethics to law: A foreign literature review of research on regulations of artificial intelligence. Forum on Science and Technology in China, 2019, (9): 1-4. (in Chinese)

11 张成岗. 走向“智治”时代 以科技创新推动社会治理现代化. 国家治理, 2020, (14): 8-11.Zhang C G. Towards the era of “intellectual governance” and promoting the modernization of social governance with scientific and technological innovation. Governance, 2020, (14): 8-11. (in Chinese)

12 Dahlberg L. The Internet and democratic discourse: Exploring the prospects of online deliberative forums extending the public sphere. Information, Communication & Society, 2001, 4(4): 615-633.

13 张成岗, 王宇航. 社会治理的技术逻辑：源流、特征及趋向. 江苏行政学院学报, 2021, (6): 61-66.Zhang C G, Wang Y H. Technical logic of social governance: Origin, characteristics and trend. The Journal of Jiangsu Administration Institute, 2021, (6): 61-66. (in Chinese)

14 弗朗西斯·福山. 我们的后人类未来：生物技术革命的后果. 黄立志, 译. 桂林: 广西师范大学出版社, 2017.Fukuyama F. Our Posthuman Future: Consequences of the Biotechnology Revolution. Translated by Huang L Z. Guilin: Guangxi Normal University Press, 2017. (in Chinese)

15 江怡. 对人工智能与自我意识区别的概念分析. 自然辩证法通讯, 2019, 41(10): 1-7.Jiang Y. A conceptual analysis of the distinction between artificial intelligence and self-consciousness. Journal of Dialectics of Nature, 2019, 41(10): 1-7. (in Chinese)

16 Xu W. Toward human-centered AI: A perspective from human-computer interaction, Interactions, 2019, 26(4): 42-46.

17 杨建军. 数字治理的法治进路. 比较法研究, 2023, (5): 1-19. Yang J J. Legal approach to digital governance. Journal of Comparative Law, 2023, (5): 1-19. (in Chinese)

18 陈升, 刘子俊, 张楠. 数字时代生成式人工智能影响及治理政策导向. 科学学研究, 2024, 42 (1): 10-20.Chen S, Liu Z J, Zhang N. Generative artificial intelligence impacts and governance policy orientation in the digital age. Studies in Science of Science, 2024, 42(1): 10-20. (in Chinese)

19 张欣. 生成式人工智能的数据风险与治理路径. 法律科学（西北政法大学学报）, 2023, 41(5): 42-54.Zhang X. Data risks and governance pathways of generative artificial intelligence. Science of Law (Journal of Northwest University of Political Science and Law), 2023, 41(5): 42-54. (in Chinese)

20 申卫星, 李夏旭. 个人数据所有权的赋权逻辑与制度展开. 法学评论, 2023, 41(5): 114-128.Shen W X, Li X X. The entitlement logic and institutional design of personal data ownership. Law Review, 2023, 41(5): 114-128. (in Chinese)

21 宋春艳, 李伦. 人工智能体的自主性与责任承担. 自然辩证法通讯, 2019, 41(11): 95-100.Song C Y, Li L. The autonomy and responsibility bearing of the artificial intelligent agent. Journal of Dialectics of Nature, 2019, 41(11): 95-100. (in Chinese)

22 Habermas J. Between Facts and Norms: Contributions to a Discourse Theory of Law and Democracy. Cambridge: MIT Press, 1996.

23 Cath C, Wachter S, Mittelstadt B, et al. Artificial intelligence and the ‘good society’: The US, EU, and UK approach. Science and Engineering Ethics, 2018, 24(2): 505-528.

24 Fung A. Varieties of participation in complex governance. Public Administration Review, 2006, 66: 66-75.

25 Floridi L, Cowls J, Beltrametti M, et al. AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 2018, 28(4): 689-707.

26 Zetzsche D A, Buckley R P, Arner D W, et al. Regulating a revolution: From regulatory sandboxes to smart regulation. Fordham Journal of Corporate & Financial Law, 2017, 23: 31-103.

Recommended Citation

ZHANG, Chenggang and PAN, Lu (2024) "Participatory ethical regulations: Risk challenges of artificial intelligence era and construction of governance logic," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 39 : Iss. 11 , Article 6.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20240417002
Available at: https://bulletinofcas.researchcommons.org/journal/vol39/iss11/6