This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
AI and Democracy Hackathon: Demonstrating the Risks
AI and Democracy Hackathon: Demonstrating the Risks
May 6, 2024
Accepted at the 
 research sprint on 

Artificial Advocates: Biasing Democratic Feedback using AI

The "Artificial Advocates" project by our team targeted the vulnerability of U.S. federal agencies' public comment systems to AI-driven manipulation, aiming to highlight how AI can be used to undermine democratic processes. We demonstrated two attack methods: one generating a high volume of realistic, indistinguishable comments, and another producing high-quality forgeries mimicking influential organizations. These experiments showcased the challenges in detecting AI-generated content, with participant feedback showing significant uncertainty in distinguishing between authentic and synthetic comments.

Sam Patterson, Jeremy Dolan, Simon Wisdom, Maten
4th place
3rd place
2nd place
1st place
 by peer review