The AI Political Archive tracks the use of generative AI across races in the 2024 U.S. general election. Through submissions via our online reporting tool and research by our team, the archive will track the full range of uses of the technology across local, state, and national elections.
People submit examples of political communications — including political ads, social media posts, and other content.
The research team will validate the submission and code it for relevant categories like the type of GenAI used and the level of the ballot.
The public archive can be used by academics, journalists, political consultants, and policymakers to understand the use of GenAI in elections.
We are currently collecting data for the archive. Once it’s publicly released, we’ll link it here. Until then, please feel free to send examples of AI political communications through our Submissions page.
Our unique dataset pays particular attention towards
National and down-ballot races: national elections receive significantly more coverage than local and state races. However, campaigns up and down the ticket will likely use generative AI . Our methods for collecting data were chosen to prioritize visibility of AI use in down-ballot races and deepen our understanding of its role beyond the national stage.
More than deepfakes: our goal is to capture the full range of uses of generative AI in political communications. We hope to create a dataset that is inclusive of the myriad ways generative AI is utilized in election contexts, both malicious and benign, deceptive and open. This includes ad campaigns as well as other political communications such as social media posts.
Multimedia examples: both the capabilities of generative AI and the realities of our digital information environment include mixed use of audio, visual, and textual content. We aim to capture a wide variety of use cases and welcome submissions of all media types.
