Political campaigns have something new to worry about these days: unflattering or incomplete information produced by A. I. programs when voters ask questions about candidates. As chatbots become a primary source of information for many voters, campaigns are pressuring tech companies to adjust how their models respond to political queries. Candidates fear that biased or hallucinated outputs could shape public perception unfairly, especially in close races.

Some campaigns are now employing dedicated teams to monitor AI outputs and request corrections from platforms like OpenAI, Google, and Meta. This emerging battleground highlights the growing influence of generative AI on electoral politics and raises questions about who controls the narratives these systems generate.