Abstract：The most prominent feature of artificial intelligence embedded in governance is that human roles are replaced,and human decision-making and rational capabilities begin to be weakened in favor of algorithmic decision-making,algorithmic rationality,and algorithm-dominated governance forms.It potentially poses the hidden concern of negative realization of the value of smart technology governance,and government governance activities in actual operation are subject to value issues such as insecurity of data sharing,the ambiguity of governance responsibilities,detracting from algorithmic justice,and impairment of technology-dependent autonomy.In order to ensure that the artificial intelligence algorithm moves toward the goal of improving the performance of government governance and enhancing the excellence and effectiveness of government governance,it is necessary to take the promotion of human welfare as the ultimate value of public administration,promote government governance back to the essential characteristic of “people-centered”in terms of securing data security,clarifying the accountability of the algorithm,enhancing the transparency of the algorithm and improving the autonomy of the subject,and realize the unity of the purpose and instrumentality of intelligent technology governance.
[1]谭九生,杨建武.人工智能嵌入政府治理的伦理风险及其防控[J].探索,2021 (2):127. [2]贾开,蒋余浩.人工智能治理的三个基本问题:技术逻辑、风险挑战与公共政策选择[J].中国行政管理,2017 (10):40. [3]王张华,颜佳华.人工智能驱动政府治理变革:内在机理与实践样态[J].学习论坛,2020 (11):54-62. [4]阙天舒,吕俊延.智能时代下技术革新与政府治理的范式变革:计算式治理的效度与限度[J].中国行政管理,2021 (2):21-30. [5]陈振明.政府治理变革的技术基础:大数据与智能化时代的政府改革述评[J].行政论坛,2015 (6):9. [6]张丙宣.技术治理的两幅面孔[J].自然辩证法研究,2017 (9):27-32. [7]VAN NOORDT C,MISURACA G.Artificial intelligence for the public sector:results of landscaping the use of AI in government across the European Union[J].Government information quarterly,2022,39 (3):101714. [8]FLORIDI L,COWLS J,BELTRAMETTI M,et al.AI4 people-an ethical framework for a good AI society:opportunities,risks,principles,and recommendations[J].Minds and machines,2018,28 (4):690-694. [9]GACUTAN J,SELVADURAI N.A statutory right to explanation for decisions generated using artificial intelligence[J].International journal of law and information technology,2020,28 (3):193-216. [10]VEALE M,VAN KLEEK M,BINNS R.Fairness and accountability design needs for algorithmic support in high-stakes public sector decision-making[C].Proceedings of the 2018 CHI conference on human factors in computing systems.ACM,2018:1-14. [11]WIRTZ B W,WEYERER J C,STURM B J.The dark sides of artificial intelligence:an integrated AI governance framework for public administration[J].International journal of public administration,2020,43 (9):818-829. [12]陈鹏.智能治理时代的政府:风险防范和能力提升[J].宁夏社会科学,2019 (1):74-78. [13]SCHIFF D S,SCHIFF K J,PIERSON P.Assessing public value failure in government adoption of artificial intelligence[J].Public administration,2022,100 (3):653-673. [14]TADDEO M,FLORIDI L.How AI can be a force for good[J].Science,2018,361 (6404):751-752. [15]贾开,薛澜.人工智能伦理问题与安全风险治理的全球比较与中国实践[J].公共管理评论,2021 (1):125. [16]李河. “代理”到 “替代”的技术与正在 “过时”的人类[J].中国社会科学,2020 (10):117. [17]方正. “数字规训”与 “精神突围”:算法时代的主体遮蔽与价值守卫[J].云南社会科学,2021 (1):151. [18]吴进进.公共决策的AI应用模式及其风险:多案例分析[J].中国行政管理,2021 (3):95. [19]王张华,颜佳华.人工智能时代算法行政的公共性审视:基于 “人机关系”的视野[J].探索,2021 (4):89. [20]马克斯·韦伯.支配社会学[M].康乐,简惠美,译.桂林:广西师范大学出版社,2010. [21]蒋超.法律算法化的可能与限度[J].现代法学,2022 (2):30. [22]许卓云.人类理性与制度选择:基于马克思经济学的分析视角[J].南方经济,2009 (3):73-77. [23]孙国东. “算法理性”的政治哲学检视[J].厦门大学学报,2021 (2):29. [24]孙伟平.人工智能与人的 “新异化”[J].中国社会科学,2020 (12):124. [25]张凌寒.算法权力的兴起、异化及法律规制[J].法商研究,2019 (4):65. [26]LIU H W,LIN C F,CHEN Y J.Beyond State v Loomis:artificial intelligence,government algorithmization and accountability[J].International journal of law and information technology,2019,27 (2):122-141. [27]张爱军,李圆.人工智能时代的算法权力:逻辑、风险及规制[J].河海大学学报,2019 (6):18-24. [28]张恩典.人工智能算法决策对行政法治的挑战及制度因应[J].行政法学研究,2020 (4):37-42. [29]李海敏.我国政府数据的法律属性与开放之道[J].行政法学研究,2020 (6):146. [30]皮埃尔·卡蓝默.破碎的民主·试论治理的革命[M].高凌瀚,译,北京:生活·读书·新知三联书店,2005. [31]本清松,彭小兵.人工智能应用嵌入政府治理:实践、机制与风险架构:以杭州城市大脑为例[J].甘肃行政学院学报,2020 (3):39. [32]汝绪华.算法政治:风险、发生逻辑与治理[J].厦门大学学报,2018 (6):28. [33]张玉宏,秦志光,肖乐.大数据算法的歧视本质[J].自然辩证法研究,2017 (5):81-86. [34]CRIADO J I,VALERO J,VILLODRE J.Algorithmic transparency and bureaucratic discretion:the case of SALER early warning system[J].Information polity,2020,25 (4):453. [35]JANSSEN M,HARTOG M,MATHEUS R,et al.Will algorithms blind people? The effect of explainable AI and decision-makers’ experience on AI-supported decision-making in government[J].Social science computer review,2022,40 (2):478-493. [36]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[J].中国科技论坛,2019 (9):1-2. [37]尤瓦尔·赫拉利.未来简史[M].林俊宏,译.北京:中信出版社,2017. [38]凯斯·R·桑塔纳.信息乌托邦:众人如何生产知识[M].毕竞悦,译.北京:法律出版社,2008. [39]BAYRAM M,SPRINGER S,GARVEY C K,et al.COVID-19 digital health innovation policy:a portal to alternative futures in the making[J].OMICS:a journal of integrative biology,2020,24 (8):462. [40]杨琴.数字经济时代数据流通利用的数权激励[J].政治与法律,2021 (12):12-25. [41]郁建兴,陈韶晖.从技术赋能到系统重塑:数字时代的应急管理体制机制创新[J].浙江社会科学,2022 (5):67. [42]姜李丹,薛澜.我国新一代人工智能治理的时代挑战与范式变革[J].公共管理学报,2022 (2):1-11. [43]LEE M S A,FLORIDI L.Algorithmic fairness in mortgage lending:from absolute conditions to relational trade-offs[J].Minds and machines,2021,31 (1):165-166. [44]CUI P,ATHEY S.Stable learning establishes some common ground between causal inference and machine learning[J].Nature machine intelligence,2022,4 (2):110-115. [45]高奇琦.智能革命与国家治理现代化初探[J].中国社会科学,2020 (7):96. [46]赫郑飞.人工智能时代的行政价值:变革与调适[J].中国行政管理,2020 (3):18. [47]陈潭,廖令剑.人工智能时代政府治理的挑战与回应[J].行政论坛,2021 (6):82-83.
2023, 
