AI in US Politics

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19 Terms

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What are deepfakes?
AI-generated videos that falsely depict people saying or doing things they never did.
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How are deepfakes spread?
Through social media, online forums, and digital ads.
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How many deepfakes were detected in 2019?
15,000 (an 84% increase from 2018).
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What percentage of Americans believe deepfakes will confuse voters?
63%.
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What percentage of deepfake targets are politicians?
39.2%.
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How many deepfake videos of Ron DeSantis were found in 2024?
48 videos with 5.8 million views across 12 platforms.
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What are the three main solutions to AI threats in elections?
Election-based legislation, mandatory AI detection for campaign ads, and voter education on AI and deepfakes.
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How can legislation help?
Regulates AI use in political ads to prevent misinformation.
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Why might legislation be ineffective?
Many voters ignore disclosure labels.
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What is AI detection?
A system that scans political ads for deepfakes or misleading content before they reach the public.
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What is an example of successful AI detection?
MIT’s AI system, which detected disinformation with 96% accuracy and was used in the 2017 French elections.
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Why is this the most practical solution?
It prevents misinformation before it spreads and is easier to enforce than voter education.
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What is the goal of voter education?
To help citizens recognize deepfakes and AI-generated disinformation.
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What is the biggest challenge?
Public resistance due to political bias concerns.
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How can education be effective?
It must be neutral and transparent to gain public trust.
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What were the three sources analyzed?
Inc.com article on transparency, MIT study on AI detection, NY Times article on misinformation.
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Which source is the most reliable?
MIT study on AI detection (96% accuracy in spotting misinformation).
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What is the best solution?
Mandatory AI detection for campaign ads.
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Why is mandatory AI detection considered the best solution?
It stops misinformation before it spreads and is more enforceable than legislation or education.