Track where your politicians stand on AI
Build a nonpartisan tracker of your representatives’ public statements on AI: everyday harms, geopolitics and catastrophic risks.
Pull together public survey data on AI from Pew Research and Our World in Data, and present the three charts that best show how people feel about AI risk.
Policymakers respond to public opinion, so it helps to know what people actually think rather than what commentators say they think.
Output: Three charts and a short commentary.
Browse Pew Research’s AI topic page and Our World in Data’s AI section. Note survey dates and sample sizes.
Pick three survey questions that together tell a story (for example, concern, trust, and support for regulation).
Chart them clearly, with sources and dates on each chart.
Explain what the data shows, what it cannot show, and one question you would want a new survey to ask.
All steps done
Share what you made, then try another project. The PDF version has room for notes.
Build a nonpartisan tracker of your representatives’ public statements on AI: everyday harms, geopolitics and catastrophic risks.
Use Anthropic’s public GlobalOpinionQA dataset, which pairs survey questions with answers from many countries. Ask several models contested moral questions repeatedly and compare the spread of their answers with the human spread.
Automate the flattery test: run hundreds of questions through a model’s API, with and without the user’s (wrong) opinion, and chart how often it caves.