AI persuasion and elections: what does the evidence say?
Separate hype from evidence: how persuasive are AI systems in practice, and what does that mean for elections and democratic debate?
Kulveit et al. argue AI could slowly erode human influence over the economy, culture and the state. Propose three measurable indicators for each domain using public data, and say which would warn us earliest.
A slow loss of influence is hard to notice without good measures. Indicators turn an abstract worry into something we can track.
Output: An indicator table with a short essay on which indicators measure real loss of influence and which only measure automation.
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.
Separate hype from evidence: how persuasive are AI systems in practice, and what does that mean for elections and democratic debate?
Will society respond to early AI accidents the way it should? Collect historical warning shots from other technologies and analyse which ones actually changed policy.
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.