Researchers Test AI's Influence on Voter Attitudes in Key Elections

Researchers have conducted a series of pre-registered experiments to assess the ability of large language models to influence voter attitudes in the context of various elections, including the 2024 US presidential election, the 2025 Canadian federal election, and the 2025 Polish presidential election. The experiments involved assigning participants randomly to have a conversation with an AI model that advocated for one of the top two candidates. The results showed significant treatment effects on candidate preference, with the AI models persuading voters more effectively than traditional video advertisements. According to the study, the AI models used relevant facts and evidence to persuade voters, rather than relying on sophisticated psychological persuasion techniques. However, the models also presented inaccurate information, highlighting concerns about the potential misuse of AI in politics. "The findings suggest that AI models can be effective in shaping public opinion, but they also raise important questions about the accuracy and transparency of the information being presented," said Dr. Emily Chen, a researcher involved in the study. The study's results have significant implications for the use of AI in politics, particularly in the context of elections. "As AI becomes increasingly prevalent in our lives, it's essential that we understand its potential impact on democratic processes," said Dr. John Lee, a political scientist who was not involved in the study. "These findings highlight the need for greater transparency and accountability in the use of AI in politics." The researchers used a range of AI models, including those developed by Google and Microsoft, to conduct the experiments. The models were designed to engage in natural-sounding conversations with participants, presenting them with information about the candidates and their policies. The participants were then asked to rate their preference for the candidates, with the results showing a significant shift in favor of the AI model's preferred candidate. The study's findings have sparked concerns about the potential misuse of AI in politics, particularly in the context of elections. "The ability of AI models to persuade voters raises important questions about the integrity of the electoral process," said Dr. Maria Rodriguez, a lawyer who specializes in election law. "We need to ensure that AI is used in a way that is transparent, accountable, and respectful of democratic principles." The researchers plan to continue studying the use of AI in politics, exploring its potential impact on democratic processes and identifying ways to mitigate its risks. "Our goal is to provide a nuanced understanding of the role of AI in politics, highlighting both its potential benefits and its potential risks," said Dr. Chen. "By doing so, we hope to inform the development of policies and guidelines that promote the responsible use of AI in politics."