Keywords
Elections; Artificial Intelligence; AI; Technology; US Elections; Regulations
Abstract
This thesis examines the growing role of artificial intelligence (AI) in democratic elections, highlighting both its transformative potential and its associated risks. Drawing on a qualitative analysis of existing literature, the study explores how AI is increasingly integrated into political campaigns, election administration, and voter engagement. Key benefits include enhanced data analysis, personalized political messaging, and improved efficiency in campaign operations. AI also supports real-time fact-checking and more accurate vote tabulation, which can strengthen transparency and trust in electoral processes. However, the thesis emphasizes that these advantages are accompanied by significant challenges. AI technologies enable the rapid creation and dissemination of misinformation and disinformation, often in highly convincing forms. Deepfakes, in particular, pose a serious threat by fabricating realistic images, audio, and video that can mislead voters and damage candidates’ reputations. Additionally, AI-driven micro-targeting raises ethical concerns about voter manipulation and suppression, as seen in cases of deceptive automated messaging. These developments contribute to a broader erosion of public trust in democratic institutions. The study also reviews regulatory responses at both domestic and international levels. While the U.S national government has suggested some AI policies and some U.S. states and global actors have implemented measures focused on transparency and accountability, regulatory frameworks remain inconsistent and underdeveloped. Public opinion data further indicates widespread concern about AI’s impact, alongside strong bipartisan support for increased oversight. Ultimately, the thesis concludes that AI will play a defining role in the future of elections. Its impact will depend on how effectively governments and societies balance innovation with regulation. Ensuring that AI enhances, rather than undermines, democratic integrity remains a critical challenge moving forward.
Thesis Completion Year
2026
Thesis Completion Semester
Spring
Thesis Chair
Jewett, Aubrey
College
College of Sciences
Department
School of Politics, Security, and International Affairs
Thesis Discipline
Elections
Language
English
Access Status
Open Access
Length of Campus Access
None
Campus Location
Orlando (Main) Campus
STARS Citation
Granger, Ryan D., "Artificial Elections: How Artificial Intelligence Can Affect Elections and Decide Our Future" (2026). Honors Undergraduate Theses. 485.
https://stars.library.ucf.edu/hut2024/485
Included in
American Politics Commons, Artificial Intelligence and Robotics Commons, Comparative Politics Commons, Public Policy Commons, Science and Technology Law Commons, Science and Technology Policy Commons
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