Artificial intelligence tools can make it significantly easier to exploit a known privacy weakness in Georgia's voting system and potentially connect individual voters with their secret ballots, according to new research that has prompted state election officials to revisit ballot-secrecy protections ahead of the November midterms.
Max Springer, a postdoctoral research fellow at Princeton University's Center for Information Technology Policy, said he used a commercially available AI coding agent and publicly accessible election records to reconstruct the order in which 1.52 million ballots were cast during Georgia's May 2026 primary. That represented 98.9% of in-person ballots across 114 of the 139 counties he examined, according to Princeton's Center for Information Technology Policy.
