This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
ApartSprints
AI and Democracy Hackathon: Demonstrating the Risks
65b750920b4aeb478958fb32
AI and Democracy Hackathon: Demonstrating the Risks
May 6, 2024
Accepted at the 
65b750920b4aeb478958fb32
 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.

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