Build a nonpartisan tracker of your representatives’ public statements on AI: everyday harms, geopolitics and catastrophic risks.
Knowing who already cares, and about what, helps advocates and voters. A similar volunteer project (Politicians on AI Safety) is currently paused, so the gap is real.
Output: A public tracker with sources for every entry.
Define exactly the quantity you want to estimate.
Find the data sources and note their limits.
Do a rough back-of-envelope version first.
Refine the input you are least sure about.
Present one clear chart and a sentence on uncertainty.
All steps done
Share what you made, then try another project. The PDF version has room for notes.
Which countries require AI developers to disclose safety testing, incidents or training details? Build a comparative tracker of transparency and disclosure rules.
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.
Combine public data on how AI is being used for different tasks with local labour-market statistics to estimate which jobs in your region are most exposed.
