Artificial Diplomacy: A Guide for Public Officials to Conduct Artificial Intelligence

Mechanisms of the overcoming the digital inequality of the population in Ukraine: interoperable governance, educational technologies of artificial intelligence and geoinformational startups

Prace Komisji Geografii Komunikacji PTG ◽

10.4467/2543859xpkg.20.022.12790 ◽

2020 ◽

Vol 23 (3) ◽

pp. 84-90

Author(s):

Oleksandr Karpenko ◽

Anton Osmak ◽

Yulia Karpenko

Keyword(s):

Artificial Intelligence ◽

Spatial Data ◽

Information Technologies ◽

Public Officials ◽

Public Authorities ◽

Logistics System ◽

Digital Inequality ◽

Theoretical Substantiation ◽

Governance Systems ◽

Teachers And Students

The article deals with the theoretical substantiation of the mechanisms of overcoming the digital inequality of the population in Ukraine, among which the main ones have been defined as follows: creation of interoperable governance systems, introduction of educational algorithms of artificial intelligence and application of geo-information technologies (startups). Digital inequalities are classified as technical, inclusive, educational and economic. It has been proven that digital education of the future must be based on individual contextual learning, which is based on technological capacity, inclusion and interaction of teachers and students within personalized curricula. It has been substantiated that there is the necessity to create in (or at) public authorities centers of interoperable governance – organizational and technological complexes of intellectually organized workplaces of public officials, experts-analysts and specialists-communicators who carry out modeling, analysis, forecasting, graphic visualization of the situation by means of digital software, technical and communicational tools to support decision-making based on neural network technologies and artificial intelligence algorithms. A model of interaction (movement) of informational and communicational flows and influences of a typical center of interoperable governance has been developed. The use of the visual representation of spatial data and digital services of geo-information systems is recommended on the example of the EasyWay startup, a digital logistics system of public transport routes to ensure the effectiveness of the centers of interoperable governance.

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Digital discretion and public administration in Africa: Implications for the use of artificial intelligence

10.31235/osf.io/2r98w ◽

2022 ◽

Author(s):

Paul Plantinga

Keyword(s):

Artificial Intelligence ◽

Public Administration ◽

System Development ◽

Policy Formulation ◽

Data Driven ◽

System Level ◽

Review Of Literature ◽

Public Officials ◽

Complete Understanding ◽

Stakeholder Groups

The digitalisation of public services is implicated in fundamental changes to how civil servants make decisions and exercise discretion. Most significant has been a shift in responsibility away from ‘street-level bureaucrats’ to ‘system-level bureaucrats’; a technology-savvy community of officials, consultants and private enterprises involved in the design of information technology systems and associated rules. The relatively recent inclusion of artificial intelligence (AI) and data-driven algorithms raises new questions about the conflation of policy formulation and system development activities, but also intensifies concerns about the epistemic dependence and policy alienation of public officials. African public administrations are in an especially vulnerable position with respect to the adoption of AI, and so this chapter seeks to synthesise lessons from previous digital implementations on the continent, and considers the implications for AI use. Four broad considerations emerge from the review of literature: Integrity of recommendations provided by decision-support systems, including how they are influenced by local organisational practices and the reliability of underlying infrastructures; Inclusive decision-making that balances the (assumed) objectivity of data-driven algorithms and the influence of different stakeholder groups; Exception and accountability in how digital and AI platforms are funded, developed, implemented and used; and a Complete understanding of people and events through the integration of traditionally dispersed data sources and systems, and how policy actors seek to mitigate the risks associated with this aspiration.

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