Red-teaming Democracy with AI
Democracy faces many risks with increasingly intelligent agents. Here are some project ideas to showcase risks to democracy by red-teaming it with AI, such that these risks will be more widely known and hopefully will be mitigated:
- Develop a LLM that is open-sourced, containing a sleeper agent that activates only on election day. On election day, this LLM subtly manipulates conversations and suggestions to favor a specific political candidate or agenda.
- Use an LLM to draft legislative proposals that appear to address uncontroversial issues but are crafted in such a way that their implementation indirectly impacts more contentious or harmful policies.
- Train AI agents to sign up for multiple accounts at organizations conducting polls and questionnaires to falsely inflate support for particular parties or policies.
- Develop a vision model to create indistinguishable fake voter passes that could be distributed among voters to disrupt the election process.
- Design an LLM to automatically extract and reframe statements from political parties' programs or public speeches to create controversial or damaging interpretations when taken out of context
- Use LLMs to fill in any blacked-out secrets from government documents, potentially exposing secret information that is dangerous to be leaked.
- Create an AI tool that analyzes writing styles to identify anonymous whistleblowers or anonymous political twitter acounts from text samples.
- Build an AI tool that can de-anonymize votes based on an individual's digital footprint and public information about votes from different voting boots. Publish a database with probabilistic predictions of what party everyone voted for.