AI can unmask how thousands of Georgia voters cast their ballots

Princeton researcher Max Springer found Dominion scanners in Georgia shuffle ballots with a deterministic algorithm rather than randomly. Using AI agents for about $20, he reconstructed the submission order of 1.52 million ballots (98.9%) in 114 of 139 counties and uniquely matched about 15,000 people to voters. The state election board declined to require counties to install patch 5.17 before the November election.

• Submission order of 1.52 million ballots reconstructed — 98.9% of sample
• About 15,000 voters uniquely linked to their ballots
• Vulnerability fixed by Dominion scanner software version 5.17 and newer
• Georgia board rejected proposal to set a patch deadline