FSU election expert recommends checking AI-assisted voting research

Revision 1 · Technology and civic information · North Florida · Record prepared

Prepared through Iliyn’s AI-assisted editorial workflow. Source statements are not independent audits of underlying events.

FSU political scientist Lonna Atkeson discusses using language models to compare candidates while recognizing the risk of inaccurate or agreeable answers.

What the record says

In an October 16 Florida State University article, Atkeson, director of the LeRoy Collins Institute, describes how AI tools could reduce the work involved in researching local candidates. She recommends asking about candidates’ policy positions rather than asking a model to choose a candidate. The article also discusses fabricated information and responses that reinforce users’ preferences.

Source details and supporting locations.

Practical next step

Treat AI-generated comparisons as research leads and check their claims against candidates’ own materials and official election information.

Limits and what is not established

This is attributed expert guidance, not a new study or proof that AI increases turnout or changes election results. This record makes no candidate endorsement.

Sources checked October 17, 2026. Later notices may change instructions or arrangements.

Original sources

Florida State University News: original information

Corrections and history

Read correction history

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