Shodh Sari-An International Multidisciplinary Journal
Vol-03, Issue-04 (Oct-Dec 2024)
An International scholarly/ academic journal, peer-reviewed/ refereed journal, ISSN : 2959-1376
Misuse Of Artificial Intelligence in Elections
Jayant
Research Scholar, Baba Mastnath University, Rohtak
DOI: https://doi.org/10.59231/SARI7758
Subject: Political Science / Information Technology
Page No: 222–241
Received: May 14, 2024
Accepted: June 30, 2024
Published: Oct 01, 2024
Thematic Classification: AI in Politics, Election Integrity, Deepfakes, Algorithmic Bias, Digital Misinformation, Cyber Ethics.
Abstract
Artificial Intelligence (AI) has emerged as a double-edged sword in the realm of electoral processes, promising efficiency and accuracy while simultaneously casting a shadow on the integrity and fairness of democratic practices. This abstract delves into the intricate web of challenges posed by the misuse of AI in elections, shedding light on its potential for manipulation, polarization, and disenfranchisement. The proliferation of AI-driven algorithms in voter targeting and micro-targeted advertising has transformed the landscape of political campaigning, enabling unprecedented levels of personalized messaging. Social media platforms, fueled by AI algorithms, have become breeding grounds for echo chambers and filter bubbles, exacerbating societal polarization and undermining the foundation of informed democratic discourse. Moreover, the deployment of AI-powered predictive analytics for voter suppression tactics has further eroded the principles of free and fair elections. By leveraging sophisticated data analytics techniques, political actors can systematically identify and disenfranchise specific demographics, thereby subverting the fundamental right to vote. This nefarious application of AI not only undermines the legitimacy of electoral outcomes but also perpetuates systemic inequalities and undermines the democratic fabric of society. Furthermore, the opacity and lack of accountability surrounding AI algorithms used in electoral processes raise profound questions regarding transparency and oversight. The black-box nature of AI systems hampers meaningful scrutiny, making it challenging to detect and address instances of algorithmic bias, discrimination, and manipulation. Without robust regulatory frameworks and mechanisms for algorithmic accountability, the unchecked proliferation of AI in elections poses a significant threat to the principles of democratic governance and electoral integrity. Additionally, the advent of AI-generated deepfakes has introduced a new dimension of vulnerability to electoral integrity, enabling the fabrication of realistic yet entirely falsified audio and video content. In an era where perception often shapes reality, the dissemination of AI-generated deepfakes has the potential to undermine public trust in electoral processes, sow discord, and destabilize democratic institutions.
Keywords–Artificial Intelligence, Elections, Voter Suppression, Algorithmic Bias, Democratic Process
Impact Statement
The article “Misuse of AI in Elections” explores the profound implications of deploying artificial intelligence technologies in the electoral process, highlighting the potential threats to democratic integrity and public trust. The misuse of AI can manifest in various forms, including the dissemination of misinformation, voter manipulation, surveillance, and undermining the credibility of election outcomes. These risks underscore the urgent need for comprehensive regulatory frameworks and ethical guidelines to safeguard democratic processes from the adverse effects of AI. By examining case studies and current practices, the article illustrates how AI-driven technologies, such as deepfake videos, automated bots, and predictive analytics, can be weaponized to influence voter behaviour and election results. It delves into the mechanics of these technologies, explaining their capabilities and the specific ways they can disrupt elections. The article also highlights the global nature of this challenge, with examples from different regions to underscore the widespread risk. The impact of this article lies in its ability to inform policymakers, technologists, and the general public about the critical vulnerabilities that AI introduces into the electoral process. It serves as a call to action for the development of robust defences against AI misuse, including the creation of international standards and cooperation among nations to address these challenges collectively. Furthermore, the article aims to foster a dialogue on the ethical use of AI, advocating for transparency, accountability, and the protection of democratic values. Ultimately, the article “Misuse of AI in Elections” contributes to the broader understanding of how emerging technologies can shape political landscapes. It emphasizes the dual-edged nature of AI—its potential to enhance electoral processes through efficiency and accuracy, contrasted with its capacity to undermine democracy if left unchecked. By shedding light on these critical issues, the article seeks to inspire proactive measures to ensure that AI serves as a tool for strengthening, rather than compromising, democratic institutions.
About The Author
Jayant is a research scholar from BMU ROHTAK with keen interest inthe feilds of law, Science and technology with this article he attempts to make complex topics accessible and engaging for a wide audience.
Cite this Article
APA 7th Style: Jayant. (2024). Misuse of artificial intelligence in elections. Shodh Sari-An International Multidisciplinary Journal, 3(04), 222–241. https://doi.org/10.59231/SARI7758
Chicago 17th Style: Jayant. “Misuse Of Artificial Intelligence in Elections.” Shodh Sari-An International Multidisciplinary Journal 3, no. 4 (2024): 222–241. https://doi.org/10.59231/SARI7758.
MLA 9th Style: Jayant. “Misuse Of Artificial Intelligence in Elections.” Shodh Sari-An International Multidisciplinary Journal, vol. 3, no. 4, 2024, pp. 222-241, https://doi.org/10.59231/SARI7758.
Statements & Declarations
Review Method: This article underwent a double-blind peer-review process by independent experts in Political Science and Cyber Security to evaluate the socio-political implications of AI-driven electoral interference and ensure technical accuracy regarding digital manipulation tactics.
Competing Interests: The author Jayant declares that there are no financial, personal, or professional conflicts of interest that could have inappropriately influenced the research findings or the analysis of AI misuse presented in this study.
Funding: This research was conducted as part of the author’s doctoral research activities at Baba Mastnath University, Rohtak. No specific external grants or commercial funding were received for this work.
Data Availability: The analysis is based on a synthesis of global case studies, cybersecurity reports, and existing legal frameworks regarding AI in political campaigning. All secondary data sources used for analysis are cited within the manuscript.
License: Misuse Of Artificial Intelligence in Elections © 2024 by Jayant is licensed under CC BY-NC-ND 4.0. This work is published by the International Council for Education Research and Training (ICERT).
Ethics Approval: As this study is a qualitative and theoretical analysis of digital trends and does not involve direct experimentation on human participants or the use of private personal data, it was deemed exempt from formal ethical review.
References
Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. In Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency (pp. 149–159).
Brundage, M., Avin, S., Clark, J. et al. (2018). The malicious use of artificial intelligence: Forecasting, prevention, and mitigation.
Chessen, M. (2017). Artificial intelligence and the future of politics. Future of Life Institute.
Feldstein, S. (2019). The global expansion of AI surveillance. Carnegie Endowment for International Peace.
Howard, P. N., Ganesh, B., & Kollanyi, B. (2018). The junk news aggregator: Examining the supply of English-language news and information about elections and politics. Computational Propaganda Research Project, Oxford Internet Institute.
Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., Metzger, M. J., Nyhan, B., Pennycook, G., Rothschild, D., Schudson, M., Sloman, S. A., Sunstein, C. R., Thorson, E. A., Watts, D. J., & Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094–1096. https://doi.org/10.1126/science.aao2998
Maréchal, N. (2017). Bots, elections, and the future of digital politics. Internet Policy Review, 6(4).
Woolley, S. C., & Howard, P. N. (2017). ‘Computational Propaganda Worldwide: Executive Summary.’ Working Paper 2017.11. Oxford Internet Institute.
Kumar, P. (2024). The Role of Ethics and Moral Values in Teaching: A Comprehensive Examination. Shodh Sari-An International Multidisciplinary Journal, 03(01), 99–112. https://doi.org/10.59231/sari7659
Avurakoghene, O. P., & Oredein, A. O. (2023). Educational leadership and artificial intelligence for sustainable development. Shodh Sari-An International Multidisciplinary Journal, 02(03), 211–223. https://doi.org/10.59231/sari7600
Kumar, S. (2023). Artificial Intelligence Learning and Creativity. Eduphoria, 01(01), 13–14. https://doi.org/10.59231/eduphoria/230402
Kumar, S., & Simran. (2024). Equity in K-12 STEAM education. Eduphoria, 02(03), 49–55. https://doi.org/10.59231/eduphoria/230412
Kumar, S. (2024). Patience Catalyst for Personal Transformation. Eduphoria, 02(02), 77– 80. https://doi.org/10.59231/eduphoria/230408
Kumar, S. (2024). Mental Detox: positive self talks. Eduphoria, 02(01), 05–07. https://doi.org/10.59231/eduphoria/23040
Kumar, S. (2024). The Relationship Between Cognitive Behavior therapy (CBT) and Depression Treatment Outcomes: A Review of literature. Eduphoria, 02(03), 20–26. https://doi.org/10.59231/EDUPHORIA/230410