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Artificial Intelligence Raises New Questions for Minnesota Campaigns
Campaigns are using AI for ads, speech writing and voter outreach as Minnesota’s deepfake law faces questions about disclosure and enforcement.
- A North Star Dawn PAC attack ad used an AI-generated deepfake of Gov. Peggy Flanagan, though whether it violated Minnesota law by appearing within 90 days of a nominating convention remains disputed.
- Manjeet Rege, an AI expert at the University of St. Thomas, noted that AI-generated tools are now built directly into campaign apps, meaning 'the line between optional and unavoidable is disappearing.'
- Sen. Erin Maye Quade says AI-generated content is 'unsettling' to voters, and experts warn that unintentional errors in campaign logistics pose significant risks to public trust.
- Championing the bipartisan TAKE IT DOWN Act, Sen. Amy Klobuchar works to criminalize deceptive AI content in political ads, while campaigns like Flanagan's call for principles against manipulating voters.
- Sen. Zach Duckworth suggests lawmakers may revisit AI-generated campaign regulations as a bipartisan issue, noting that ensuring accurate voter information should concern all parties.
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Artificial intelligence raises new questions for Minnesota campaigns
"Minnesotans don't want this in their elections": Experts and lawmakers discuss just how intertwined AI use in campaigns could be.
·Cherokee County, United States
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2026 State Legislative Push to Regulate AI-Generated Campaign Advertisements – Duane Morris Government Strategies
Photo credit: iStock.com/tadamichi As artificial intelligence (AI) continues to reshape political campaigns, state lawmakers are moving to keep pace with its growing use in advertising. Back in January 2024, we covered the first wave of state action on AI in campaigns, when a handful of states began enacting deepfake regulations and the Federal Election Commission proposed its own rule targeting deceptive AI-generated content. More than two year…
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Total News Sources17
Leaning Left0Leaning Right6Center8Last UpdatedBias Distribution57% Center
Bias Distribution
- 57% of the sources are Center
57% Center
C 57%
R 43%
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