Charting the Landscape of Nefarious Uses of Generative Artificial Intelligence for Online Election Interference

13 Pages Posted: 10 Jul 2024

See all articles by Emilio Ferrara

Emilio Ferrara

University of Southern California

Date Written: July 01, 2024

Abstract

Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) pose significant risks, particularly in the realm of online election interference. This paper explores the nefarious applications of GenAI, highlighting their potential to disrupt democratic processes through deepfakes, botnets, targeted misinformation campaigns, and synthetic identities. By examining recent case studies and public incidents, we illustrate how malicious actors exploit these technologies to try influencing voter behavior, spread disinformation, and undermine public trust in electoral systems. The paper also discusses the societal implications of these threats, emphasizing the urgent need for robust mitigation strategies and international cooperation to safeguard democratic integrity.

Keywords: generative ai, genai, social media, elections, us election

Suggested Citation

Ferrara, Emilio, Charting the Landscape of Nefarious Uses of Generative Artificial Intelligence for Online Election Interference (July 01, 2024). Available at SSRN: https://ssrn.com/abstract=4883403 or http://dx.doi.org/10.2139/ssrn.4883403

Emilio Ferrara (Contact Author)

University of Southern California ( email )

2250 Alcazar Street
Los Angeles, CA 90089
United States

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