Artificial Intelligence Research and Its Contributions to the European Union’s Political Governance: Comparative Study between Member States

João Reis, Paula Santo and Nuno Melão
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João Reis: Industrial Engineering and Management, Lusofona University and DREAMS Research Unit, Campo Grande, 1749-024 Lisbon, Portugal
Paula Santo: Institute of Social and Political Sciences (ISCSP), CAPP, University of Lisbon, Campus Universitário do Alto da Ajuda, 1300-663 Lisbon, Portugal
Nuno Melão: CISeD—Research Center in Digital Services, Polytechnic Institute of Viseu, Campus Politécnico, 3504-510 Viseu, Portugal

Social Sciences, 2020, vol. 9, issue 11, 1-17

Abstract: In the last six decades, many advances have been made in the field of artificial intelligence (AI). Bearing in mind that AI technologies are influencing societies and political systems differently, it can be useful to understand what are the common issues between similar states in the European Union and how these political systems can collaborate with each other, seeking synergies, finding opportunities and saving costs. Therefore, we carried out an exploratory research among similar states of the European Union, in terms of scientific research in areas of AI technologies, namely: Portugal, Greece, Austria, Belgium and Sweden. A key finding of this research is that intelligent decision support systems (IDSS) are essential for the political decision-making process, since politics normally deals with complex and multifaceted decisions, which involve trade-offs between different stakeholders. As public health is becoming increasingly relevant in the field of the European Union, the IDSSs can provide relevant contributions, as it may allow sharing critical information and assist in the political decision-making process, especially in response to crisis situations.

Keywords: artificial intelligence; intelligent decision support systems; decision-making; European Union; Portugal; Greece; Austria; Belgium; Sweden; political governance (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2020
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