The Role of Artificial Intelligence in Electoral Processes
Abstract
In electoral processes the integration of Artificial Intelligence (AI) has transformed traditional voting systems offering enhanced security, efficiency and voter engagement. It explores this literature review for the role of AI in elections, examining its applications in voter list management, electronic voting machines (EVMs) and combating misinformation. Studies highlight AI’s potential in improving electoral transparency, predicting voting behaviours and addressing security concerns associated with digital elections. Researchers have explored machine learning algorithms for blockchain- based voting solutions, fraud detection and AI- driven voter registration verification. However, critical concerns are challenges such as data privacy, cybersecurity risks, and algorithmic biases. So many studies illustrate the need for regulatory frameworks and ethical AI implementation to ensure democratic elections. In this discussed the impact of AI on election forecasting, political polarization and social media influence. This review underscores AI’s transformative potential while acknowledging the need for responsible deployment. Balancing technological advancements with ethical considerations for maintain electoral integrity and public trust which is focus of future research.
Fields of Study & Subjects
Internet Traffic Analysis and Secure E-voting
Electoral Systems and Political Participation
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 29 January 2026