AI in Elections and Civic Tech Quiz

Answers and explanations appear as you take the quiz.

1. What happened in the January 2024 New Hampshire primary that highlighted AI election risks?
   • An AI-generated robocall mimicking President Biden's voice told voters not to vote
   • A voting machine was hacked by AI
   • An AI chatbot gave wrong polling locations
   • Deepfake ballots were mailed to voters
2. What is the C2PA standard designed to do?
   • Encrypt voter registration databases
   • Cryptographically sign media at capture to verify provenance
   • Count votes faster
   • Block all political ads online
3. Under California’s vote-by-mail signature rule, what happens when a signature has multiple significant and obvious differences from the voter’s record?
   • It is automatically accepted without review
   • It is automatically rejected in every case
   • It receives additional review by an elections official
   • It is replaced by an AI-generated signature
4. What training-example duration does the cited Neural Voice Cloning paper say can suffice in some few-shot setups?
   • At least several weeks of continuous audio
   • Exactly one hour in every model
   • No speaker audio is ever used
   • A few minutes or even a few seconds, depending on the setup
5. How can AI be used to detect partisan gerrymandering?
   • By simulating thousands of possible district maps for comparison
   • By counting votes manually
   • By banning redistricting
   • By translating ballots
6. In its 2024 TCPA declaratory ruling, how did the FCC classify AI-generated voices used in covered calls?
   • As certified proof that a political claim is true
   • As artificial or prerecorded voices under the TCPA
   • As a voter-registration record
   • As a voice that is exempt from all call-consent rules
7. What does a valid C2PA Content Credential primarily communicate?
   • A universal verdict that every statement in the media is true
   • A guarantee that the media has never been edited
   • Claims about media provenance and its recorded history
   • Proof that a human rather than software created every element
8. In the cited gerrymandering study, how are districting plans assessed?
   • By asking a language model whether a map looks fair
   • By checking only the party label of the mapmaker
   • By guaranteeing one mathematically perfect district map
   • By comparing a proposed plan with an ensemble of simulated plans under stated assumptions