科学技术的深入发展和广泛应用正在深刻改变人类社会的生产和生活模式,尤其是信息技术的快速发展,推动人工智能(AI)与人的关系由“辅助”到“互助”和“融合”不断深化.相应地,社会调控对象向着能力不断增强的AI系统以及AI赋能的人和组织演变,社会系统将呈现"信息-物理-社会"的高度耦合,调控环境也相应转换为人机融合的复杂社会系统.这一显著变化将倒逼法律体系的变革,对社会系统调控能力提出更高要求,迫切需要人文社科与科学技术相关方法的交叉融合.论文基于对人机融合社会系统发展的研判,在分析法律体系、控制论、人工智能等所面临挑战的基础上,从法律规制和系统控制的角度,提出将调控工程系统的控制科学与调控社会系统的法律充分结合,在系统科学框架内研究处理人工智能时代社会中的系统调控问题;并进一步归纳探讨了以人为本、优势互补、系统分析、量化支撑、算法规制、博弈控制等若干调控原则和可尝试的前瞻领域,以及需要深入研究的问题.这一思路可望量化表达公平正义等法学基本问题,优化调控系统技术指标,促进人机融合社会系统实现其安全稳定、公平正义、民主自由、和谐发展等价值目标.
Abstract
The rapid development and wide applications of artificial intelligence (AI) are changing the structure of human society profoundly. The AI has developed from auxiliary tools to good consultations, and deeply integrated with human society. Furthermore, the objects of social regulation are being evolved into powerful AI as well as organizations and individuals with capabilities significantly enhanced by AI, and the environment is being transformed into complex systems of man-machine integration. This change will inevitably bring various uncertain risks and challenges in the man-machine integration systems (MMIS), and it is of great importance to build a social regulatory system that conforms to such value objectives as safety and stability, equity and justice, democracy and freedom, and harmonious development, etc. That will need the combination of related methods in both humanities/social sciences and natural/technological sciences. A possible path is to combine the science of law for social systems with the control theory for engineering systems, which may likely enable us to secure basic ethical and legal issues, and at the same time to realize the technical objectives of regulation for MMIS. There are some basic principles and methodologies that could be followed, for examples, human-oriented AI, advantageous complementariness, systems analysis, quantitative support, algorithm regulation, and control of game-based systems.
关键词
人机融合 /
智能系统 /
社会系统 /
信息-物理-社会系统 /
道德伦理 /
法律量化 /
复杂系统 /
控制论 /
博弈论 /
系统论
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Key words
man-machine integration systems (MMIS) /
AI systems /
social systems /
cyber-physical-social systems (CPSS) /
ethics /
legal quantitative /
complex systems /
cybernetics /
game theory /
systems theory
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中图分类号:
N94
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参考文献
[1] 万百五. 21世纪控制论综述评论集[M]. 广州:华南理工大学岀版社, 2018.
[2] Gil Y, Selman B. A 20-year community roadmap for artificial intelligence research in the US[R]. Computing Community Consortium (CCC) and Association for the Advancement of Artificial Intelligence (AAAI), 2019.
[3] Ganzer P D, Colachis S C, Schwemmer M A, et al. Restoring the sense of touch using a sensorimotor demultiplexing neural interface[J]. Cell, 2020, 181(4):763-773.e12.
[4] Cheng Y L, Wei J Z. Progress in the brain-computer interface:An interview with Bin He[J]. National Science Review, 2020, 7(2):480-483.
[5] Kriegman S, Blackiston D, Levin M, et al. A scalable pipeline for designing reconfigurable organisms[J]. PNAS, 2020, 117(4):1853-1859.
[6] 委内瑞拉大规模停电事件的初步分析与思考启示[EB/OL].[2020-6-28]. https://www.antiy.com/response/20190316.html.
[7] 郭雷. 系统学是什么[J]. 系统科学与数学, 2016, 36(3):291-301.Guo L. What is systematology[J]. Journal of Systems Science and Complexity, 2016, 36(3):291-301.
[8] 中共中央关于坚持和完善中国特色社会主义制度、推进国家治理体系和治理能力现代化若干重大问题的决定[EB/OL].[2020-6-28]. http://xinhuanet.com.
[9] 张文显. 新时代的人权法理[J]. 人权, 2019(3):12-27.
[10] 马长山. 智慧社会背景下的"第四代人权"及其保障[J]. 中国法学, 2019(5):5-24.
[11] Bellovin S M, Dutta P K, Reitinger N. Privacy and synthetic datasets[J]. Stanford Technology Law Review, 2019, 22:1-39.
[12] 卢曼. 法律的自我复制及其限制[J]. 韩旭,译. 李猛,校. 北大法律评论, 1999, 2(2):446-469.
[13] 小奥利弗·温德尔·霍姆斯. 普通法[M]. 冉昊, 姚中秋,译.北京:中国政法大学出版社, 2006.
[14] 维纳. 控制论(Cybernetics):或关于在动物与机器中控制和通信的科学[M]. 2版.郝季仁,译. 北京:科学出版社, 2009.
[15] Pearl J, Mackenzie D. 为什么:关于因果关系的新科学[M]. 江生, 于华,译. 北京:中信出版集团, 2019.
[16] 汪庆华. 人工智能法律规制路径的一个框架性讨论[J]. 现代法学, 2019(2):54-63.
[17] General data protection regulation[EB/OL].[2020-6-28]. https://gdpr-info.eu.
[18] 休谟. 人性论[M]. 关文运,译. 北京:商务印书馆, 2004.
[19] 庞德. 通过法律的社会控制[M]. 沈宗灵,译. 北京:商务印书馆, 2010.
[20] Ethics guidelines for trustworthy AI[EB/OL].[2020-6-28]. https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai.
[21] 科技部:发展负责任的人工智能:新一代人工智能治理原则发布[EB/OL].[2020-6-26]. http://most.gov.cn/kjbgz/201906/t20190617147107.htm.
[22] 康德. 纯粹理性批判[M]. 李秋零,译. 北京:中国人民大学出版社, 2004.
[23] 李平, 杨政银. 人机融合智能:人工智能3.0[J]. 清华管理评论, 2018(7-8):73-82.
[24] 杜健荣. 法律与社会的共同演化——基于卢曼的社会系统理论反思转型时期法律与社会的关系[J]. 法制与社会发展, 2009(2):109-117.
[25] 高宣扬. 鲁曼社会系统理论与现代性[M]. 北京:中国人民大学出版社, 2016.
[26] 李忠夏. 宪法学的系统论基础:是否以及如何可能[J]. 华东政法大学学报, 2019(3):21-33.
[27] 哈肯. 协同学导论[M]. 徐锡申,等译. 北京:原子能出版社, 1984.
[28] Holland J H. Studying complex adaptive system[J]. Journal of Systems Science and Complexity, 2006, 19(1):1-8.
[29] Rahwan L, Cebrian M, Obradovich N, et al. Machine behavior[J]. Nature, 2019, 568:477-486.
[30] 钱学森. 创建系统学[M]. 上海:上海交通大学出版社, 2007.
[31] 埃尔菲·艾恩. 奖励的惩罚[M]. 程寅, 艾斐译. 上海:上海三联书店, 2006.
[32] 波音737MAX-8客机空难事故初步分析[EB/OL].[2020-6-28]. http://www.cannews.com.cn/2019/0319/192195.shtml.
[33] Schelling T C. Micromotives and macrobehavior[M]. New York:W. W. Norton & Company, 1978.
[34] 储怀值, 何群. 论我国数量刑法学的构建[J]. 中国法学, 2019(3):186-203.
[35] Wang F, Guo L. Do confessions contribute to lenient punishments in China? An empirical study based on crimes-of-intentional-injury trials[J]. Tsinghua China Law Review, 2019, 12:57-85.
[36] 王芳. 刑事诉讼中积极赔偿对量刑的影响及其合理控制研究[J]. 法学论坛, 2020(3):95-103.
[37] 肖健. 彼彻姆和查瑞斯的生命伦理原则主义进路评析[J]. 道德与文明, 2019(1):43-46.
[38] 王钰, 程海东. 人工智能技术伦理治理内在路径解析[J]. 自然辩证法通讯, 2019, 41(8):87-93.
[39] White paper on artificial intelligence-A European approach to excellence and trust[EB/OL].[2020-6-28]. https://ec.europa.eu/info/publications/white-paper-artificial-intelligence-european-approach-excellence-and-trust-en.
[40] Zhang R R, Wang F, Guo L. On game-based control systems and beyond[J]. National Science Review, 2020. https://doi.org/10.1093/nsr/nwaa093.
[41] 苏宇. 论算法规制的价值目标与机制设计[J]. 自然辩证法通讯, 2019, 41(10):8-15.
[42] Guo L. Feedback and uncertainty:Some basic problems and results[J]. Annual Reviews in Control, 2020, 49:27-36.
[43] Zhang R R, Guo L. Controllability of Nash equilibrium in game-based control systems[J]. IEEE Transactions on Automatic Control, 2019. doi:10.1109/TAC.2019.2893150.
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脚注
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基金
国家自然科学基金(11688101)
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