Impact of Artificial Intelligence Research on Politics of the European Union Member States: The Case Study of Portugal

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

Sustainability, 2020, vol. 12, issue 17, 1-27

Abstract: Currently, artificial intelligence (AI) is at the center of academic and public debate. However, its implications on politics remain little understood. To understand the impact of the AI phenomenon on politics of the European Union (EU), we have carried out qualitative multimethod research by performing a systematic literature review and a case study. The first method was performed according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA), in order to report the state-of-the-art in the existing literature and explore the most relevant research areas. The second method contained contributions from experts in data science and AI of the Portuguese scientific community. The results showed that solutions such as intelligent decision support systems are improving the political decision-making process and impacting the Portuguese society at local, regional, and national levels. We also found that practitioners and scientists are currently shifting their interests from environmental and biological sciences to healthcare services, which is bringing new challenges in terms of protecting patient/citizen data and growing concerns about handling of critical information. Future research may focus on comparative studies with other EU States to obtain a comprehensive and holistic understanding of the AI phenomenon.

Keywords: artificial intelligence; decision-making process; healthcare services; intelligent decision support systems; politics; Portugal; society (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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