共查询到20条相似文献，搜索用时 25 毫秒
1.
To lay the foundation for the special issue that this research article introduces, we present 1) a systematic review of existing literature on the implications of the use of Artificial Intelligence (AI) in public governance and 2) develop a research agenda. First, an assessment based on 26 articles on this topic reveals much exploratory, conceptual, qualitative, and practice-driven research in studies reflecting the increasing complexities of using AI in government – and the resulting implications, opportunities, and risks thereof for public governance. Second, based on both the literature review and the analysis of articles included in this special issue, we propose a research agenda comprising eight process-related recommendations and seven content-related recommendations. Process-wise, future research on the implications of the use of AI for public governance should move towards more public sector-focused, empirical, multidisciplinary, and explanatory research while focusing more on specific forms of AI rather than AI in general. Content-wise, our research agenda calls for the development of solid, multidisciplinary, theoretical foundations for the use of AI for public governance, as well as investigations of effective implementation, engagement, and communication plans for government strategies on AI use in the public sector. Finally, the research agenda calls for research into managing the risks of AI use in the public sector, governance modes possible for AI use in the public sector, performance and impact measurement of AI use in government, and impact evaluation of scaling-up AI usage in the public sector. 相似文献
2.
《Government Information Quarterly》2022,39(4):101742
Literature shows there is a growing interest in studies involving Artificial Intelligence (AI) in the public sector; and while there is evidence of many governmental initiatives that have been established to harness the power of AI, empirical research on the topic and evidence-based insights are rather lacking. The aim of this Special Issue on Artificial Intelligence for Data-Driven Decision-Making and Governance in Public Affairs is to extend both the theoretical and practical boundaries of AI research in the public sector in order to improve governmental decision-making and governance, thus enhancing public value creation. The papers in this special issue focus on AI risks and guidelines, AI governance, the risks of governmental implementation of AI to citizens' privacy, increasing citizen satisfaction through AI-enabled government services, the enablers and challenges of AI implementation in specific public sectors, and using AI to study political opinion. These papers not only advance our knowledge and understanding of the use of AI in government and public governance, but they also help to set out a renewed research agenda. Future research should, among other things, focus on inter- and multi-disciplinary empirical studies that call for the collaboration of a variety of stakeholders; on the longitudinal dynamics of creating public value through the breadth and depth of AI assimilation; and on the investigation of the ethical challenges (particularly data privacy) in AI implementation. 相似文献
3.
《Government Information Quarterly》2019,36(2):368-383
The nascent adoption of Artificial Intelligence (AI) in the public sector is being assessed in contradictory ways. But while there is increasing speculation about both its dangers and its benefits, there is very little empirical research to substantiate them. This study aims at mapping the challenges in the adoption of AI in the public sector as perceived by key stakeholders. Drawing on the theoretical lens of framing, we analyse a case of adoption of the AI system IBM Watson in public healthcare in China, to map how three groups of stakeholders (government policy-makers, hospital managers/doctors, and Information Technology (IT) firm managers) perceive the challenges of AI adoption in the public sector. Findings show that different stakeholders have diverse, and sometimes contradictory, framings of the challenges. We contribute to research by providing an empirical basis to claims of AI challenges in the public sector, and to practice by providing four sets of guidelines for the governance of AI adoption in the public sector. 相似文献
4.
《Government Information Quarterly》2022,39(4):101617
Artificial Intelligence (AI) has been suggested to have transformative potential for public sector organizations through enabling increased productivity and novel ways to deliver public services. In order to materialize the transformative potential of AI, public sector organizations need to successfully assimilate AI in their operational activities. However, AI assimilation in the public sector appears to be fragmented and lagging the private sector, and the phenomena has really limited attention from academic research community. To address this gap, we adopt the case study approach to explore three Saudi-Arabian public sector organizations and analyze the results using the attention-based view of the organization (ABV) as the theoretical lens. This study elucidates the challenges related AI assimilation in public sector in terms of how organizational attention is focused situated and distributed during the assimilation process. Five key challenges emerged from the cases studied, namely (i) misalignment between AI and management decision-making, (ii) tensions with linguistics and national culture, (iii) developing and implementing AI infrastructure, (iv) data integrity and sharing, and (v) ethical and governance concerns. The findings reveal a re-enforcing relationship between the situated attention and structural distribution of attention that can accelerate the successful assimilation of AI in public sector organizations. 相似文献
5.
[目的/意义] 现代风险社会对图书馆行业发展及其管理带来了严峻的挑战，传统的图书馆风险管理模式已不适应当前图书馆的发展，亟需探索新的风险治理框架。[方法/过程] 分析图书馆风险治理研究与实践过程中存在的概念界定不清晰、研究方法滞后、管理主体单一等不足。在风险社会理论及治理理论与方法的指导下，以大数据驱动为视角，提出图书馆风险治理的内涵，并分析图书馆风险治理的大数据应用需求、治理框架构建以及在此治理框架下图书馆风险治理内容、治理流程。[结果/结论] 针对图书馆领域存在的实体性风险（建筑、公共场所、自然灾害）、具体业务发展中的风险（资源建设、服务创新、技术应用与管理）以及外界环境（社会、技术、政策等的发展）所带来的行业风险，大数据分析能够有效地识别、预测、治理所面临的风险，为图书馆风险治理提供有效的技术工具。 相似文献
6.
《Government Information Quarterly》2022,39(1):101652
Calls for public engagement and participation in AI governance align strongly with a public value management approach to public administration. Simultaneously, the prominence of commercial vendors and consultants in AI discourse emphasizes market value and efficiency in a way often associated with the private sector and New Public Management. To understand how this might influence the consolidation of AI governance regimes and decision-making by public administrators, 16 national strategies for AI are subjected to content analysis. References to the public's role and public engagement mechanisms are mapped across national strategies, as is the articulation of values related to professionalism, efficiency, service, engagement, and the private sector. Though engagement rhetoric is common, references to specific engagement mechanisms and activities are rare. Analysis of value relationships highlights congruence of engagement values with professionalism and private sector values, and raises concerns about neoliberal technology frames that normalize AI, obscuring policy complexity and trade-offs. 相似文献
7.
《Government Information Quarterly》2022,39(3):101714
Artificial Intelligence is increasingly being used by public sector organisations. Previous research highlighted that the use of AI technologies in government could improve policy making processes, public service delivery and the internal management of public administrations. In this article, we explore to which extent the use of AI in the public sector impacts these core governance functions. Findings from the review of a sample of 250 cases across the European Union, show that AI is used mainly to support improving public service delivery, followed by enhancing internal management and only in a limited number assist directly or indirectly policy decision-making. The analysis suggests that different types of AI technologies and applications are used in different governance functions, highlighting the need to further in-depth investigation to better understand the role and impact of use in what is being defined the governance “of, with and by AI”. 相似文献
8.
Weslei Gomes de Sousa Elis Regina Pereira de Melo Paulo Henrique De Souza Bermejo Rafael Araújo Sousa Farias Adalmir Oliveira Gomes 《Government Information Quarterly》2019,36(4):101392
To obtain benefits in the provision of public services, managers of public organizations have considerably increased the adoption of artificial intelligence (AI) systems. However, research on AI is still scarce, and the advance of this technology in the public sector, as well as the applications and results of this strategy, need to be systematized. With this goal in mind, this paper examines research related to AI as applied to the public sector. A review of the literature covering articles available in five research databases was completed using the PRISMA protocol for literature reviews. The search process yielded 59 articles within the scope of the study out of a total of 1682 studies. Results show a growing trend of interest in AI in the public sector, with India and the US as the most active countries. General public service, economic affairs, and environmental protection are the functions of government with the most studies related to AI. The Artificial Neural Networks (ANN) technique is the most recurrent in the investigated studies and was pointed out as a technique that provides positive results in several areas of its application. A research framework for AI solutions for the public sector is presented, where it is demonstrated that policies and ethical implications of the use of AI permeate all layers of application of this technology and the solutions can generate value for functions of government. However, for this, a prior debate with society about the use of AI in the public sector is recommended. 相似文献
9.
《Government Information Quarterly》2022,39(1):101625
A key challenge behind the adoption of blockchain in the public sector is understanding the dynamics of blockchain governance. Based on a systematic literature review, this article analyzes different approaches to blockchain governance across disciplines and develops a comprehensive conceptual framework for the study of blockchain governance decisions in the public sector. The framework clusters nine types of governance decisions (infrastructure architecture, application architecture, interoperability, decision-making mechanism, incentive mechanism, consensus mechanism, organization of governance, accountability of governance, and control of governance) into three levels of analysis (micro, meso, and macro-levels). Drawing on public management theories and concepts, the article elucidates the implications of various governance choices in each level of governance and provides a primer for researchers and policy practitioners on the design of blockchain-based systems in the public sector. 相似文献
10.
“平安中国”将信息数据保护纳入风险防范的内容之一,为电子档案风险管理提供了科学的行动指南。文章在解析平安中国内涵基础上,指出其对档案工作的现实意义,强调档案安全对于国家安全的重要作用,同时审视了电子档案在生成源头、流转过程、突发应急等环节的现有难题。为此,按照平安中国的治理框架,针对性地提出应对策略:加强全结构源头治理,强化电子档案风险事前控制;加强全周期动态治理,把风险管理嵌入各业务环节;加强全方位依法治理,善用法治思维推进风险规避;加强全要素智慧治理,运用数字技术赋能风险识别。 相似文献
11.
《Government Information Quarterly》2022,39(3):101692
As GovTech solutions are steadily entering the public sector, they have yet to find their way into the mainstream literature. GovTech refers to socio-technical solutions – that are developed and operated by private organisations – intertwined with public sector components for facilitating processes in the public sector. GovTech solutions promise a superior customer journey for citizens and businesses compared to current government portals and front desks. GovTech solutions can be a blessing in disguise for governments struggling in their digital transformation journey, carrying the burden of public service innovation and replacing legacy systems with modern GovTech solutions. Yet, there are also concerns that GovTech solutions are a Trojan horse, exploiting the lack of technical knowledge at public agencies and shifting decision-making power from public agencies to market parties, thereby undermining digital sovereignty and public values. This paper develops a research agenda for GovTech based on a conceptual framework. This framework reveals four interrelated design areas for GovTech: institutional, governance, technical and human-centred design. Governments can employ the conceptual framework to further align and develop their strategies by focussing on GovTech governance, referring to the ability to manage the various interdependencies between the four design areas. 相似文献
12.
在知识产权保护水平不断提高的新时代,著作权风险成为困扰图书馆发展的问题。文章以风险管理为理论视角,从风险识别、风险评估和风险防控三方面归纳图书馆著作权风险研究成果的共识和分歧。在风险识别方面,现有研究主要通过案例分析和流程分析等方法对风险进行识别,而随着图书馆业务类型的丰富和著作权法律的修订,亟待引入新的风险识别模式以应对风险因素的快速扩张;在风险评估方面,图书馆著作权风险评估研究还处于起步阶段,评估过程过于依赖研究者自身或专家的主观认识,缺少客观数据支撑,不同研究建立的指标体系和评估结果之间存在显著差异;在风险管控方面,现有研究强调内部管理、合同、社会治理等各种手段的协同作用,但未能阐明各措施的防控效果和作用机制。着眼于政策法规等规范性文件的合规风险管理框架,能够很好地整合现有研究基础,弥补现有研究的不足,为图书馆著作权风险研究的进一步发展提供新的理论工具。 相似文献
13.
Atreyi Kankanhalli Yannis Charalabidis Sehl Mellouli 《Government Information Quarterly》2019,36(2):304-309
The Internet of things (IoT) is the network of objects/things that contain electronics, software, sensors, and actuators, which allows these things to connect, interact, and exchange data. The users, sensors, and networks generate huge amounts of data from which governments can develop applications and gain knowledge using Artificial Intelligence (AI) techniques. Thus, IoT and AI can enable the development of valuable services for citizens, businesses, and public agencies, in multiple domains, such as transportation, energy, healthcare, education, and public safety. This guest editorial for the special issue on IoT and AI for Smart Government, identifies the challenges involved in implementing and adopting these technologies in the public sector, and proposes a comprehensive research framework, which includes both IoT and AI elements for smart government transformation. Subsequently, the editorial provides a brief introduction of the six papers in this special issue. Finally, an agenda for future research on IoT and AI for smart government is presented, based on the proposed framework and gaps in existing literature, supported by the papers that were submitted to this special issue. The agenda comprises four directions i.e., conducting domain-specific studies, going beyond adoption studies to examine implementation and evaluation of these technologies, focusing on specific challenges and thus quick wins, and expanding the existing set of research methods and theoretical foundations used. 相似文献
14.
《Government Information Quarterly》2022,39(2):101643
Social media have become a common organizational resource of governments and public administrations in different contexts. Previous authors have stated that social media institutionalization encompasses a process including stages from experimentation to complete command of the innovation. However, an understanding of barriers to social media institutionalization in public administration needs to be developed. In this article we focus on exploring what factors operate as barriers of the social media institutionalization process. Methodologically, we use a mixed-methods strategy combining different sources of data for triangulation purposes, including a survey on social media conducted to Spanish largest local governments. Based on this data, and following the literature on social media institutionalization, we construct a Social Media Institutionalization Index (SMI). Our SMI is founded on a set of variables measuring to what extent social media have been embedded in public sector organizations. Also, we conducted a case study in a city council based on semi-structured interviews. Our results suggest that social media institutionalization has not been fully developed in our sample of local governments. In addition, different variables (including security, lack of resources for maintenance, control and evaluation, organizational culture, or absence of governance framework) are perceived by public managers as institutionalization barriers, whereas the governance scheme of social media seems to be the critical variable. At the same time, we emphasize that some inhibitors might be overvalued by public employees. This article encourages future avenues of comparative research and practical recommendations to public managers leading social media in the public sector. 相似文献
15.
政府大数据治理规则体系构建研究构想 总被引：2，自引：1，他引：1
[目的/意义] 弥补大数据发展应用背景下政府大数据治理规则体系缺失及其研究的不足。[方法/过程] 从大数据认知多维视角出发,分析大数据治理主体、治理客体、治理活动和治理风险4个方面所面临的挑战及其大数据规则制定需求;诊断政府大数据治理规则体系构建研究的阻碍问题及原因。以公共价值理论、数字连续性理论和多元价值理论为主要理论支持,提出政府大数据治理规则体系构建研究的基本框架。[结果/结论] 明晰了政府大数据治理规则体系构建的关键性要素及其关系,对构建政府大数据治理的长效规则体系提供了一种多维视角的研究思路和一个综合集成的研究方案。 相似文献
16.
《Government Information Quarterly》2022,39(3):101704
Interest in implementing artificial intelligence (AI)–based software in the public sector is growing. First implementations and research in individual public services have already been carried out; however, a better understanding of citizens' acceptance of this technology is missing in the public sector, as insights from the private sector cannot be transferred directly. For this purpose, we conduct policy-capturing experiments to analyze AI's acceptance in six representative scenarios. Based on behavioral reasoning theory, we gather evidence from 329 participants. The results show that AI solutions in general public services are preferred over those provided by humans, but specific services are still a human domain. Further analyses show that the major drivers toward acceptance are the reasons against AI. The results contribute to understanding of when and why AI is accepted in public services. Public administration can use the results to identify AI-based software to invest in and communicate their usage to perceive such investments' high acceptance rates. 相似文献
17.
[目的/意义]公共信息服务社会共治对改善公共信息服务供给结构、提高公共信息服务质量均有积极意义。但与政府单一服务模式一样,在公共信息服务社会共治的组织运行中也可能产生一系列风险。[方法/过程]文章对社会共治中可能出的公共信息服务碎片化风险、偏离公共性风险、主体选择风险、责任解构风险、服务安全风险等风险类型及其成因进行了分析。从建立整体性治理机制以减少公共信息服务的碎片化、明确公共信息服务风险的政府责任与问责设计、研判社会共治中安全风险来源并重点管控新型信息安全问题等方面进行对策研究。[结果/结论]认为通过上述方法与过程可以实现对公共信息服务社会共治风险的有效控制,从而扩大公共信息服务社会共治的积极影响。 相似文献
18.
《Government Information Quarterly》2023,40(1):101774
Artificial Intelligence (AI) implementation in public administration is gaining momentum heralded by the hope of smart public services that are personalised, lean, and efficient. However, the use of AI in public administration is riddled with ethical tensions of fairness, transparency, privacy, and human rights. We call these AI tensions. The current literature lacks a contextual and processual understanding of AI adoption and diffusion in public administration to be able to explore such tensions. Previous studies have outlined risks, benefits, and challenges with the use of AI in public administration. However, a large gap remains in understanding AI tensions as they relate to public value creation. Through a systematic literature review grounded in public value management and the resource-based view of the firms, we identify technology-organisational-environmental (TOE) contextual variables and absorptive capacity as factors influencing AI adoption as discussed in the literature. To our knowledge, this is the first paper that outlines distinct AI tensions from an AI implementation and diffusion perspective within public administration. We develop a future research agenda for the full AI innovation lifecycle of adoption, implementation, and diffusion. 相似文献
19.
[目的/意义]数据治理是实现大数据驱动公共安全治理模式变革的基础,构建体现领域特殊性与敏感性的公共安全数据治理体系为开展科学研究与治理实践提供理论框架指导。[方法/过程]从交叉学科视角出发,对公共安全数据治理的概念进行溯源,并剖析其发展的学科理论基础和驱动力;在此基础上解析代表性文献,梳理公共安全数据治理的解决问题、治理主体、客体、工具和目标五个关键要素的内容范畴与核心内涵,进而构建涵盖多要素、不同维度的数据治理体系逻辑框架。[结果/结论]该框架以数据流为连接点凸显学科之间的知识交叉融合,统筹各关键要素并指出公共安全数据治理的关键议题包括应用情境搭建、数据资源体系建设、主体决策机制建设以及治理工具选择。 相似文献
20.
《Government Information Quarterly》2022,39(3):101688
Artificial Intelligence (AI) policies and strategies have been designed and adopted in the public sector during the last few years, with Chief Information Officers (CIOs) playing a key role. Using socio-cognitive and institutional approaches on Information Technologies (ITs) in (public) organizations, we consider that the assumptions, expectations, and knowledge (technological frames) of those in charge (CIOs) of designing AI strategies are guiding the future of these emerging systems in the public sector. In this study, we focus on the technological frames of CIOs in the largest Spanish local governments. Based on a survey administered to CIOs leading IT departments, this article presents original data about their technological frames on AI. Our results: (1) provide insights about how CIOs tend to focus on the technological features of AI implementation while often overlook some of the social, political, and ethical challenges in the public sector; (2) expand the theory on AI by enabling the construction of propositions and testable hypotheses for future research in the field. Therefore, the comparative study of technological frames will be key to successfully design and implement AI policies and strategies in the public sector and to tackle future challenges and opportunities. 相似文献