"An employer who only wanted to hire employees with a specific political affiliation could do so by analyzing the primary ballot history of job applicants."
"More than 25 years ago, research by Latanya Sweeney demonstrated that most of the US population (87 percent) could be identified with just three anonymous data points - a five-digit ZIP code, gender, and date of birth."
"Recent research has shown that the process of identifying people from seemingly anonymous data points becomes even easier with AI tools."
Public voter data can be linked with other datasets, making it vulnerable to misuse. Foreign intelligence services could identify military families, while employers could discriminate based on political affiliation. Identity fraud rings could exploit returned mail indicators to take over addresses. Research shows that a significant portion of the US population can be identified using minimal data points. The ease of re-identification has increased with AI tools, highlighting the risks associated with public voting records.
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