冉龙亚;陈涛;孙宁华

• 1:华中科技大学公共管理学院

摘要(Abstract)：

政府部门已经开始尝试使用人工智能制定公共决策，但与此相关的信任问题同样需要引起重视。本文探讨人工智能参与公共决策对公众信任的影响，认为公众对于人工智能制定的决策的信任程度取决于决策的类型。研究以公共管理学科的140名本科生和Credamo网络平台的200名用户为样本，进行了两项调查实验，对研究假设进行了检验。结果表明，对于更多涉及定量运算的决策，有人工智能技术参与制定的决策被证明具有更高的可信任度；而对于更多涉及情景判断的定性决策，公众更倾向于认为涉及公共管理者参与的决策的可信任程度更高。由此，提出政府部门应根据决策的类型考虑是否将人工智能技术纳入决策过程，特别是当决策的复杂程度较高、需要更多人的价值判断时更应该审慎对待。

关键词(KeyWords)： 人工智能;算法;公共决策;决策类型;信任;调查实验

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金重点项目“非传统安全问题风险识别与防范机制——以智慧城市治理中的信息共享为例”（71734002）；教育部人文社会科学研究项目“基于人工智能的政务服务创新研究”（19YJA630010）；湖北省重点研发计划项目“文旅景区三维数字化平台关键技术研究”（2021BAA033）

作者(Authors): 冉龙亚;陈涛;孙宁华

DOI: 10.19524/j.cnki.10-1009/g3.2022.01.103

参考文献(References)：

• [1] 王张华. 人工智能时代的政府治理: 挑战与应对. 行政与法,2019, (8):53–59
  [2] 冉龙亚, 陈涛, 孙宁华. 人工智能时代的政府治理: 机遇与挑战. 中国科技论坛,2021, (12):1–9
  [3] Banerjee S, Singh P K, Bajpai J. A Comparative Study on Decision-Making Capability Between Human and Artificial Intelligence. Singapore: Springer Singapore, 2017: 203–210.
  [4] 陈涛, 冉龙亚, 明承瀚. 政务服务的人工智能应用研究. 电子政务,2018, (3):22–30
  [5] McKnight H D, Choudhury V, Kacmar C. The Impact of Initial Consumer Trust on Intentions to Transact with a Web Site: a Trust Building Model. The Journal of Strategic Information Systems,2002, 3(11):297–323
  [6] Janssen M, Kuk G. The Challenges and Limits of Big Data Algorithms in Technocratic Governance. Government Information Quarterly, 2016, 33(3): 371-377.
  [7] Zouridis S, Eck M, Bovens M. Automated Discretion. In: Evans T. , Hupe P. (eds) Discretion and the Quest for Controlled Freedom. Palgrave Macmillan, Cham, 2020: 313-329.
  [8] Nagtegaal R. The Impact of Using Algorithms for Managerial Decisions on Public Employees' Procedural Justice. Government Information Quarterly,2021, 38(1):101536
  [9] Russell S J, Norvig P N. Artificial Intelligence: A Modern Approach. Applied Mechanics & Materials,2010, 263(5):2829–2833
  [10] Center for Public Impact. Destination Unknown: Exploring the Impact of Artificial Intelligence on Government. https://arxiv.org/pdf/1503.07810.pdf. [2021-10-10].
  [11] Eggers W D, Schatsky D, Viechnicki P. AI-augmented Government: Using Cognitive Technologies to Redesign Public Sector Work. Deloitte Center for Government, 2017. https://www2.deloitte.com/content/dam/insights/us/articles/3832_AIaugmentedgovernment/DUP _AI-augmented-government.pdf.
  [12] Mittelstadt B D, Allo P, Taddeo M, et al. The Ethics of Algorithms: Mapping the Debate. Big Data & Society,2016, 3(2):1245638655
  [13] Lee M K. Understanding Perception of Algorithmic Decisions: Fairness, Trust, and Emotion in Response to Algorithmic Management. Big Data & Society,2018, 5(1):1245846356
  [14] 程淑琴, 倪东辉. 大数据时代政府绩效评估与创新研究. 安庆师范学院学报(社会科学版),2016, 35(5):97–101
  [15] Janssen M, Kuk G. Big and Open Linked Data (BOLD) in Research, Policy, and Practice. Journal of Organizational Computing and Electronic Commerce,2015, 26(1-2):3–13
  [16] Clarke A, Margetts H. Governments and Citizens Getting to Know Each Other? Open, Closed, and Big Data in Public Management Reform. Policy & Internet,2014, 6(4):393–417
  [17] Duan Y, Edwards J S, Dwivedi Y K. Artificial Intelligence for Decision Making in the Era of Big Data – Evolution, Challenges and Research Agenda. International Journal of Information Management,2019, 48:63–71
  [18] Meijer A, Wessels M. Predictive Policing: Review of Benefits and Drawbacks. International Journal of Public Administration,2019, 42(12):1031–1039
  [19] Gillath O, Ai T, Branicky M S, et al. Attachment and Trust in Artificial Intelligence. Computers in Human Behavior,2021, 115:106607
  [20] Aoki N. An Experimental Study of Public Trust in AI Chatbots in the Public Sector. Government Information Quarterly,2020, 37(4):101490
  [21] Sidlauskiene J. What Drives Consumers’ Decisions to Use Intelligent Agent Technologies? A Systematic Review. Journal of Internet commerce,2021:1–38
  [22] Pelau C, Dabija D, Ene I. What makes an AI Device Human-like? The Role of Interaction Quality, Empathy and Perceived Psychological Anthropomorphic Characteristics in the Acceptance of Artificial Intelligence in the Service Industry. Computers in Human Behavior,2021, 122:106855
  [23] Kaplan A D, Kessler T T, Brill J C, et al. Trust in Artificial Intelligence: Meta-Analytic Findings. Hum Factors,2021:823484060
  [24] Bawack R E, Wamba S F, Carillo K D A. Exploring the Role of Personality, Trust, and Privacy in Customer Experience Performance During Voice Shopping: Evidence from SEM and Fuzzy Set Qualitative Comparative Analysis. International Journal of Information Management,2021, 58:102309
  [25] Ingrams A, Kaufmann W, Jacobs D. In AI We Trust? Citizen Perceptions of AI in Government Decision Making. Policy & Internet, 2021.
  [26] Busch P A, Henriksen H Z, S?b? ?. Opportunities and Challenges of Digitized Discretionary Practices: a Public Service Worker Perspective. Government Information Quarterly,2018, 35(4):547–556
  [27] 董帅, 范长军, 瞿崇晓等. 关于人工智能应用于管理决策的几点思考. 企业改革与管理,2021, (8):5–7
  [28] Bolander T. What do We Loose When Machines Take the Decisions?. Journal of Management and Governance,2019, 23(4):849–867
  [29] Parry K, Cohen M, Bhattacharya S. Rise of the Machines. Group & Organization Management,2016, 41(5):571–594
  [30] Shrestha Y R, Ben-Menahem S M, von Krogh G. Organizational Decision-Making Structures in the Age of Artificial Intelligence. California Management Review,2019, 61(4):66–83
  [31] Jarrahi M H. Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making. Business Horizons,2018, 61(4):577–586
  [32] Kantowitz B H, Roediger H L, Elmes D G. Experimental Psychology: Understanding Psychology Research. Cambridge: Wadsworth Publishing, 2008.
  [33] Falk A, Heckman J J. Lab Experiments Are a Major Source of Knowledge in the Social Sciences. Science,2009, 326(5952):535–538
  [34] Blom-Hansen J, Morton R, Serritzlew S. Experiments in Public Management Research. International Public Management Journal,2015, 2(18):151–170
  [35] Sniderman P M. The Logic and Design of the Survey Experiment: An Autobiography of a Methodological Innovation. Cambridge: Cambridge University Press, 2011.
  [36] 代涛涛, 陈志霞. 行为公共管理研究中的实验方法: 类型与应用. 公共行政评论,2019, 12(6):166–185
  [37] Davenport T H, Julia K. Just How Smart are Smart Machines?. MIT Sloan Management Review,2016, 57(3):21–25
  [38] Wesche J S, Sonderegger A. When Computers Take the Lead: The Automation of Leadership. Computers in Human Behavior,2019, 101:197–209
  [39] 李晓倩, 刘求实. 购买服务中公众对非营利机构与营利性机构信任差异的实验研究. 中国非营利评论,2018, 22(2):95–114