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

TL;DR

This paper reviews how generative AI and large language models can be exploited for online election interference, emphasizing risks like disinformation, deepfakes, and synthetic identities, and calls for mitigation strategies.

Contribution

It provides a comprehensive analysis of nefarious uses of GenAI in election interference, supported by recent case studies and highlights the need for international mitigation efforts.

Findings

GenAI can be exploited for disinformation campaigns.

Deepfakes and synthetic identities threaten electoral integrity.

Malicious use of LLMs is increasing and requires urgent mitigation.

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.