8th North America Conference on Industrial Engineering and Operations Management

Future Prospects of Governance and Democracy Using Artificial Intelligence

DONG HO SHIN
Publisher: IEOM Society International
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Track: High School STEM Poster Competition
Abstract

Artificial intelligence is shaping the future of politics through a digital political revolution. In this context, we look at the impact of artificial intelligence on democracy in terms of freedom, equality, and political action. Artificial intelligence has a positive aspect of expanding the realm of human freedom through citizen's political participation, the spread of digital liberalism, and the improvement of human capabilities. On the other hand, artificial intelligence violates individual freedom by depriving human spirit, intuition, free will, and autonomy by replacing human self-improvement, human authority with algorithms, and labor with robots. Artificial intelligence is more likely to fall into the trap of digital dictatorship by falling into dataism as it focuses on procedural democracy rather than substantive democracy. Algorithms tune the human mind and emotions to create an Orwellian monitor that continuously observes every individual. Algorithms are likely to give control to a small elite, and new forms of authoritarian control will emerge. AI governance is based on whether citizens will actively participate in politics to overcome the problems of modern representative democracy and restore democracy, or go to digital totalitarianism by a group of data elites. In order to achieve a new alternative political system beyond digital dictatorship, civil society must secure the right to control data, and human authority must not be replaced by data authority.

 

Keywords

artificial intelligence, AI, deep learning, Governance and Democracy

Published in: 8th North America Conference on Industrial Engineering and Operations Management , Houston, United States of America

Publisher: IEOM Society International
Date of Conference: June 13-15, 2023

ISBN: 979-8-3507-0546-1
ISSN/E-ISSN: 2169-8767