Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration

Mikhaylov, Slava; Estève, Marc; Campion, Averill

doi:10.1098/rsta.2017.0357

Cited by 119 publications

(89 citation statements)

References 48 publications

(72 reference statements)

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“…The British government had also made substantial practical contributions in the development of expert systemsthe trend has been one of building from what others, particularly Americans, have done [39]. As governments cannot do the integration of AI into public service delivery on their own, the UK Government Industrial Strategy is clear that delivering on the AI grand challenge requires collaboration between universities and public private sectors [7]. Mikhaylov et al [7] also argues that, despite the cross-sectorial collaborative approach is the norm in applied AI centres of excellence around the world, the popularity of this strategy entails serious management challenges that hinder their success.…”

Section: The Digital Scope and The Shift To Artificial Intelligencementioning

confidence: 99%

“…As governments cannot do the integration of AI into public service delivery on their own, the UK Government Industrial Strategy is clear that delivering on the AI grand challenge requires collaboration between universities and public private sectors [7]. Mikhaylov et al [7] also argues that, despite the cross-sectorial collaborative approach is the norm in applied AI centres of excellence around the world, the popularity of this strategy entails serious management challenges that hinder their success. Therefore, the UK perspective to focus their AI investments on the synergies between the state and companies.…”

Section: The Digital Scope and The Shift To Artificial Intelligencementioning

confidence: 99%

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Artificial Intelligence in Government Services: A Systematic Literature Review

Reis

Santo

Melão

2019

Advances in Intelligent Systems and Computing

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The aim of this paper is to provide an overview on how artificial intelligence is shaping the digital era, in policy making and governmental terms. In doing so, it discloses new opportunities and discusses its implications to be considered by policy-makers. The research uses a systematic literature review, which includes more than one technique of data analysis in order to generate comprehensiveness and rich knowledge, we use: a bibliometric analysis and a content analysis. While artificial intelligence is identified as an extension of digital transformation, the results suggest the need to deepen scientific research in the fields of public administration, governmental law and business economics, areas where digital transformation still stands out from artificial intelligence. Although bringing together public and private sectors, to collaborate in the public service delivery, presents major advantages to policy makers, evidence has also shown the existence of negative effects of such collaboration. Keywords: Digital transformation Á Digital era Á Artificial intelligence Á Political science Á Policy-makers Á Government services Á Systematic literature review Á Technological development

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Section: The Digital Scope and The Shift To Artificial Intelligencementioning

confidence: 99%

Section: The Digital Scope and The Shift To Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence in Government Services: A Systematic Literature Review

Reis

Santo

Melão

2019

Advances in Intelligent Systems and Computing

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“…Data protection rules mean that it is often easier to move people than it is to move data. In these cases, approaches may include embedding external contractors in the public sector, exploring inward secondments or building capability internally (Mikhaylov, Esteve and Campion, 2018).…”

Section: Build Internal Capacitymentioning

confidence: 99%

“…These often provide an institutional focal point for collaboration between local and national government, universities, tech firms and non-profits to combine data and address social problems. For example, the New York Mayor's Office for Data Analytics (MODA) 148 actively draws on expertise from Columbia University and NYU to develop data standards and protocols (Mikhaylov, Campion and Esteve, 2018).…”

Section: Harness External Expertise Through Partnerships and Collabormentioning

confidence: 99%

Hello, World

Berryhill¹,

Heang²,

Clogher³

et al. 2019

OECD Working Papers on Public Governance

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Artificial Intelligence (AI) is an area of research and technology application that can have a significant impact on public policies and services in many ways. In just a few years, it is expected that the potential will exist to free up nearly one-third of public servants' time, allowing them to shift from mundane tasks to high-value work. Governments can also use AI to design better policies and make better decisions, improve communication and engagement with citizens and residents, and improve the speed and quality of public services. While the potential benefits of AI are significant, attaining them is not an easy task. Government use of AI trails that of the private sector; the field is complex and has a steep learning curve; and the purpose of, and context within, government are unique and present a number of challenges.

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“…Those publications are predominantly linked to the private sector, with a few exceptions portraying the government sector (see Braun & Davis, 2003;Mikhaylov, Esteve & Campion, 2018), and are mostly conceptual, as in Kokina and Davenport (2017), Hinings, Gegenhuber and Greenwood (2018) and Sousa et al (2019), which provide an overview of the appearance of Artificial Intelligence in accounting and auditing without empirical data. Although several scholars continue to study the introduction and implementation of AI-based systems in the private and the public sector from different theoretical perspectives, there has been a paucity of research concerning how these technological artifacts get implemented, especially in the governmental context.…”

Section: Introductionmentioning

confidence: 99%

Artificial Ladies against corruption: searching for legitimacy at the Brazilian Supreme Audit Institution

Neves¹,

Silva²,

Carvalho³

2019

Rev. contab. organ.

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31This study depicts the search for legitimacy by four information technology artifacts in helping auditors in the surveillance against fraud and corruption by the Brazilian Supreme Audit Institution (TCU). ALICE, ADELE, MONICA, and SOFIA are Artificial Intelligence (AI) systems proposed to aid auditing processes in the public sector. A web-based survey has been used to gather the responses from 60 auditors across Brazil and semi-structured interviews with the Chief Data Officer, three IT Developers and five TCU Audit Managers selected by purposive sampling. The research finds that the use of AI-based systems is low among auditors at the TCU due to the perceived limited benefit. While some respondents recognized the advantages of the AI-based systems, they are put off by the weak theorization and diffusion regarding the meaning and the use of AI-based systems within the organization; they showed a priority for using traditional auditing methods instead of digital innovation, restricting the potential of anticorruption control by technological artifacts. Revista de Contabilidade Abstract Revista de Contabilidade e OrganizaçõesOur findings contribute to governmental agencies, researchers, and practitioners by developing and nurturing digital literacy within organizations, supporting educational diffusion and local developments by strengthening and utilizing cross-organizational networks to improve competencies of organizations and practitioners in the rapidly developing field of digital innovations.

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Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration

Cited by 119 publications

References 48 publications

Artificial Intelligence in Government Services: A Systematic Literature Review

Artificial Intelligence in Government Services: A Systematic Literature Review

Hello, World

Artificial Ladies against corruption: searching for legitimacy at the Brazilian Supreme Audit Institution

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