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1.
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   

2.
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   

3.
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   

4.
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   

5.
This study addresses the growing challenge of governing artificial intelligence (AI) arising from the risks that it increasingly poses to the public sector and society. Based on an in-depth literature analysis, we first identify AI risks and guidelines and classify them into six categories, including technological, data, and analytical risks and guidelines, informational and communicational risks and guidelines, economic risks and guidelines, social risks and guidelines, ethical risks and guidelines, as well as legal and regulatory risks and guidelines. These risks and guidelines are then elaborated and transferred into a four-layered conceptual framework for AI governance. The framework interrelates AI risks and AI guidelines by means of a risk management and guidance process, resulting in an AI governance layer depicting the process for implementation of customised risk mitigation guidelines. The framework constitutes a comprehensive reference point for developing and implementing AI governance strategies and measures in the public sector.  相似文献   

6.
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   

7.
Smart government is used to characterize activities that creatively invest in emergent technologies coupled with innovative strategies to achieve more agile and resilient government structures and governance infrastructures. However, there is no consensus in terms of what this term includes and how it is related to emergent technologies and innovation in the public sector. This introductory paper provides readers with ways to think about smart government and summarizes findings from twelve articles included in this special issue. These articles, which are the best papers of the 6th International Conference on the Theory and Practice of Electronic Governance (ICEGOV2012), contribute to emerging understanding of being smart in government settings. The articles span a great diversity of related topics such as smart cities, open government, and participation mechanisms. Collectively, the articles provide perspectives on the nature of smart governments and illustrate exemplar practices and initiatives on how governments are opening up and transforming service delivery to become smarter. The special issue in its entirety contributes to understanding governance structures, technical infrastructures, and other requirements geared toward supporting the operations of smarter governments around the world.  相似文献   

8.
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   

9.
Effective e-government creates an environment for citizens to have greater access to their government and, in theory, makes citizen-to-government contact more inclusive. Our research examines two distinct but related measures of e-government effectiveness, namely the online service index and the e-participation index, both reported in the 2010 e-government survey conducted by the United Nations. We analyze the impact of political structure, public sector performance and policy initiatives on both indices in more than 150 countries. Our multiple regression analysis shows that there is greater e-government capability in countries that have more effective public sector governance and administration, and policies that advance the development and diffusion of information and communication technologies. More democratic institutions and processes, however, appear to have a negative impact on e-government. In addition, countries that practice effective governance and promote competition in the telecommunications sector demonstrate more extensive provision of e-participation. These results suggest that the path to e-government leverages different strategies depending on a nation's political structure, and that authoritarian countries may be utilizing e-government to maintain the status quo.  相似文献   

10.
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   

11.
Despite the exponential growth in the popularity of artificial intelligence (AI), our knowledge on the public perception of AI, especially in the context of local government services, is still limited. To bridge this gap, this study aims to provide empirical evidence and insights into public perceptions concerning the use of AI in local government services. Our methodological approach involves collecting data via an online survey from the residents of three major Australian cities—i.e., Sydney, Melbourne, Brisbane—and Hong Kong (n = 850), and performing statistical analyses. We found that: (a) Ease of using AI is significantly and positively influenced by attitude towards AI; (b) Attitude towards AI significantly and positively influences perceived usefulness of AI in local government services; (c) AI is seen useful in resource management and to improve delivery of service, reduction of cost to provide urban-service, improvement of public safety, and monitoring the effectiveness of strategies to manage environmental crisis, and; (d) AI is more positively perceived by Australians in comparison to Hong Kongers, indicating the impact of contextual and cultural differences. The research findings inform local government authorities—e.g., urban policymakers, managers, and planners—on their AI policy, planning and implementation decisions.  相似文献   

12.
This article examines the proposal for restructuring of the National Archives of New Zealand using the functional model in which policy advice and service delivery are separated, a public sector reform principle in widespread use. The proposal results from a report in 1994 by consultants, McDermott Miller Ltd., commissioned by the Treasury and the Department of Internal Affairs. Its contents, recommendations, and later amendments are examined in some detail. Particular attention is paid to the effectiveness and appropriateness of the model for a public archives agency, and the constitutional and legal implications.  相似文献   

13.
Social media technologies have begun to enter the governmental workplace as tools to accomplish improved public service and engagement. Widespread recognition of the potential of social media technology for achieving public outcomes does not match our understanding about how and why specific tools are being used for specific purposes. This paper makes use of newly collected national survey data from local government managers in five different agencies to address the questions: which social media tools are being used, for which tasks or purposes; and what organizational characteristics influence the coupling of task and technology. Findings reveal patterns of social media tool application for particular purposes, although organizations do not all use social media tools in the same way. Moreover, regression analysis shows that different organizational factors – work characteristics, innovativeness, technology and management capacity and stakeholder influence – predict each of the four technology–task couplings — social media for dissemination, social media for feedback on service quality, social media for participation, and social media for internal work collaboration. This study demonstrates that social media tools are not a monolithic group and calls for greater research attention to the complex interactions among social media technology, task and organizational context.  相似文献   

14.
As shared services organizations (SSO) become more popular as a service management and delivery option in government, properly defining and setting up the governance structure continues to be a key success factor. This paper explores the options and issues to consider when selecting and implementing shared services governance including topics such as oversight, accountability, culture, management of resources, and of day-to-day operations. Shared services organizations are increasingly common in private sector companies and the particular challenges involved in the governance of an SSO in a public service context are highlighted and discussed.  相似文献   

15.
Driven by ‘success stories’ reported by private sector firms, government agencies have also started adopting various Artificial Intelligence (AI) technologies in diverse domains (e.g. health, taxation, and education); however, extensive research is required in order to exploit the full potential of AI in the public sector, and leverage various AI technologies to address important problems/needs. This paper makes a contribution in this direction: it presents a novel approach, as well as the architecture of an ICT platform supporting it, for the advanced exploitation of a specific AI technology, namely chatbots, in the public sector in order to address a crucial issue: the improvement of communication between government and citizens (which has for long time been problematic). The proposed approach builds on natural language processing, machine learning and data mining technologies, and leverages existing data of various forms (such as documents containing legislation and directives, structured data from government agencies' operational systems, social media data, etc.), in order to develop a new digital channel of communication between citizens and government. Making use of appropriately structured and semantically annotated data, this channel enables ‘richer’ and more expressive interaction of citizens with government in everyday language, facilitating and advancing both information seeking and conducting of transactions. Compared to existing digital channels, the proposed approach is appropriate for a wider range of citizens' interactions, with higher levels of complexity, ambiguity and uncertainty. In close co-operation with three Greek government agencies (the Ministry of Finance, a social security organization, and a big local government organization), this approach has been validated through a series of application scenarios.  相似文献   

16.
According to public management theory and existing research on information technology (IT) value creation in the public sector, governments should actively strive to generate greater public value with IT, and the capability of public service delivery is at the center of this public value. In this study, we focus on efficiency gains in public service delivery through IT in municipal governments. First, we answer the research question: How much euro efficiency is gained in public service delivery by €1 increase in share of IT costs relative to total municipal costs? Second, we focus on contextual effects of these efficiency gains, by analyzing the effects of workforce mean age, workforce age dispersion and training costs. We use data from Dutch municipalities and study these efficiency gains in the period 2014–2018. Our empirical strategy encompasses a two-step procedure combining a stochastic frontier model and ordinary least squares models. Our analysis suggests that share of IT costs relative to total municipal costs (in short: share of IT costs) can explain efficiency in public service delivery by municipalities. Our results indicate that an increase of €1 in favour of share of IT costs leads to a net cost efficiency gain of €1.08. We also show that this effect in efficiency gains diminishes with a higher share of IT costs. Our results also show that workforce mean age, workforce age dispersion and training costs do not influence the relation between share of IT costs and efficiency.  相似文献   

17.
Several emerging economies have embarked on a path of digitization to provide lean governance through platform-based applications. Platforms and ecosystems can play vital roles in the proliferation of technologies, which can facilitate a digital transformation of society aimed at equitable and efficient service delivery to citizens. Despite being innovative, citizen-centric, and citizen-inclusive, such platforms has been observed to be rare in emerging economies. Our study assesses the factors that lead to the intention to continue to use these platforms, with the objective of establishing a revised approach to better governance through these platform-based services. A conceptual framework is proposed, based on an integration of various models, and tested using primary data from citizens subscribing to platform-based government services. The results indicate that a continuous availability of such services has better predictive power for the continual-use intention. A unique contribution of the study worth highlighting is the significance of the factor, “sovereign structural assurance,” a pre-requisite for strengthening the degree of control. Based on this study's findings, it is recommended that platforms should invest in controls for structural assurance. These interventions can serve as contrivances that create a sustainable model for such services. A successful convergence of the factors would accelerate the government services by transforming the public service landscape.  相似文献   

18.
政府购买公共图书馆服务旨在更好地实现图书馆服务均等化和提升图书馆服务质量,满足社会公众日益增长的文化需求。其网络化治理是保障服务供给、形成制度规范、优化运作程序、实现技术应用的迫切要求,必须明确政府机构、企业单位、第三部门与社会公众等多元主体各自的功能定位,建立集信任、协调、互动、整合于一体的实现机制,遵循确定目标一致的战略方案、打造信息共享的管理平台、提升政府部门的治理能力、完善高效运转的监管体系等治理途径。  相似文献   

19.
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   

20.
Large-scale outsourcing of information technology in the U.K. public sector – the NHS, the Inland Revenue, and the Department of Social Security over the years – raises a number of critical issues not just for how outsourcing can be conducted in public sector contexts but also about the efficacy of such arrangements in terms of enforcement of democratic values. We argue that marketization's target may well be bureaucracy, but the organizational form is a repository for democratic, civic, and public service values that can be eroded through how outsourcing has been conducted. The call for a reevaluation and the case for a distinctive public services management ethos are made if such values as equality, impartiality, communal good and public service are to be pursued and delivered. Selective outsourcing is revealed as effective – together with much needed rebuilding of internal capabilities – in keeping control of IT destiny, delivering on public service requirements, and managing external supply. The U.K. experience, we suggest, provides salutary learning for public services in other developed economies.  相似文献   

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