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AI 还原佐治亚州选民与秘密选票的关联

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普林斯顿大学信息技术政策中心博士后研究员 Max Springer 用约 20 美元的商用 AI 大语言模型订阅,结合通过《公开记录法》获得的提前投票名单与各县 cast vote record 文件,搭建出分析佐治亚州秘密选票的流程,并称该智能体全程未拒绝配合或提出担忧。他检查的 139 个县中有 114 个县可还原投票顺序,共涉及 152 万张选票,占这些县现场投票的 98.9%;在选民较少的 Heard 县,该智能体亦完成匹配。据 Forkast 报道,其机制利用了 2022 年披露的 Dominion ImageCast Precinct 与 ImageCast Evolution 扫描仪漏洞,可把 2026 年 5 月佐治亚州初选选票与选民对应。佐治亚州已就此事召开紧急会议,并紧急修订相关规则。

Generated by AI from reports · Updated 5 days ago

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Oct 6
  1. Forkast
    普林斯顿研究者用 20 美元 AI 智能体还原 152 万佐治亚州选民选票,州政府紧急修订规则

    普林斯顿大学信息技术政策中心博士后研究员 Max Springer 演示,一个售价约 20 美元的商用 AI 编码智能体仅凭公开的选票记录文件和提前投票签到名单,就将 2026 年 5 月佐治亚州初选的 152 万张选票与选民对应起来,在 114 个县中成功匹配 98.9% 的现场投票。其机制是把 2022 年披露的 Dominion ImageCast Precinct 与 ImageCast Evolution 扫描仪漏洞(选票记录被赋予确定性而非随机的唯一标识符)与公开数据结合,智能体在数小时内生成了可用的利用流程,无需内部权限或专有数据。该漏洞的修复版本 5.17 已于 2023 年 3 月获选举协助委员会认证,但到 2026 年 8 月仍未在佐治亚州部署,而全美有 21 个州使用受影响的扫描仪。

Oct 3
  1. The Guardian · 人工智能Selected
    Georgia holds emergency meeting over AI reconstructing voters' secret ballots

    Max Springer, a postdoctoral fellow at Princeton University's Center for Information Technology Policy, used a $20 AI large language model subscription and data obtained through public records requests to build a process for analyzing Georgia's secret ballots, and said the agent never refused to cooperate or raised concerns. Using early voting lists and county cast vote record files, he reconstructed the voting order of a total of 1.52 million ballots in 114 of the 139 counties he examined, accounting for 98.9% of in-person voting in those counties; in Heard County, which has fewer voters, the agent matched most of the 650 early in-person voters to specific ballots. Georgia's State Election Board held an emergency meeting over this, Secretary of State Brad Raffensperger ordered that ID numbers be redacted when ballot data is made public, and VotingWorks founder Ben Adida said this "basically resolves the flaw." Board member Salleigh Grubbs proposed having polling station workers shuffle paper ballots before scanning them, which was questioned by other members for creating new operational problems.

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