Case Studies

While Artificial Intelligence (AI) has undoubtedly changed elections across the globe, its specific impact points differ significantly from country to country. In many regions, AI use by electoral campaigns, domestic political influencers, and foreign actors have fundamentally altered the electoral information environment. Generative technologies offer new tools for campaign reach and customization, but also for actors seeking to disrupt or undermine the integrity of electoral processes. Ultimately, this has changed how constituents are engaging with elections.

At the same time, Electoral Management Bodies (EMBs) in all parts of the world are increasingly approaching AI technologies as tools that can help support them in making elections more secure, fair, and efficient. What this means in practice is largely dependent on the national electoral context, meaning that EMBs are taking different approaches to how, if, and when AI could be implemented to enhance existing procedures. This includes creating responsible architecture around the use of AI that employs guidelines, specialized capacities, and safeguards to ensure that any use of AI upholds democratic and human rights principles.

The advancement of AI development at EMBs varies greatly by region. Some countries are in the early stages of conceptualizing the role of AI in electoral management, whereas others have already rolled out functions such as AI-powered voter biometrics, agentic voter education, and cybersecurity reinforcements. To illustrate the diverging approaches in different national contexts, the AI & Elections Hub compiles country profiles that showcase how EMBs across the world are considering, or already utilizing, AI in their work on elections. The profiles ask key questions on how EMBs are harnessing the technology’s strengths while staying cognizant of the need for human oversight and risk protection.  

Each case shares accounts by EMB representatives from across the globe, telling stories of how AI has impacted their work on electoral management and how their institutions are adapting to a new technological paradigm. Altogether, the profiles provide a glimpse into how EMBs navigate the role of AI as an election technology.