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Artificial Intelligence Into Democratic Decision Making

Artificial Intelligence Into Democratic Decision Making

Takis Vidalis
Copyright: © 2023 |Pages: 14
ISBN13: 9781799892205|ISBN10: 1799892204|EISBN13: 9781799892212
DOI: 10.4018/978-1-7998-9220-5.ch095
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MLA

Vidalis, Takis. "Artificial Intelligence Into Democratic Decision Making." Encyclopedia of Data Science and Machine Learning, edited by John Wang, IGI Global, 2023, pp. 1600-1613. https://doi.org/10.4018/978-1-7998-9220-5.ch095

APA

Vidalis, T. (2023). Artificial Intelligence Into Democratic Decision Making. In J. Wang (Ed.), Encyclopedia of Data Science and Machine Learning (pp. 1600-1613). IGI Global. https://doi.org/10.4018/978-1-7998-9220-5.ch095

Chicago

Vidalis, Takis. "Artificial Intelligence Into Democratic Decision Making." In Encyclopedia of Data Science and Machine Learning, edited by John Wang, 1600-1613. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-7998-9220-5.ch095

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Abstract

Although political decisions deeply affect our personal and social lives and determine the future of any society, their quality is often disputable. This is due to elements of poor information and irrationality that conventional decision-making involves, like insufficient documentation, biased evaluation of the data collected, absurd preferences, or even corrupting practices of the responsible politicians or administrative personnel. This article explores the possibility to improve the quality of political decisions in general, and more specifically of governmental decisions concerning legal regulation, by introducing artificial intelligence applications into the process of decision-making. Three topics deserve special attention: 1) the question on compliance with constitutional prerequisites that characterize every modern democracy, 2) the problem of personal data collection and processing, and 3) the question related to political accountability.

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