Some companies are replacing human respondents with AI 'answers' (silicon sampling), and bad actors can use AI to automate fake survey responses at scale; both practices distort estimates and exploit opt‑in survey models while probability‑based panels remain more resistant. The issue is methodological (how surveys are conducted) but also civic: if poll results reflect algorithmic stereotypes or fraud, media, policymakers and markets will be misled.
— If AI substitutes for or systematically corrupts public-opinion data, the feedback loop between citizens and institutions — policy, elections, media narratives — will be degraded.
David Kent
2026.05.12
100% relevant
Pew Research Center’s Courtney Kennedy warns against 'silicon sampling' and explains that their probability‑based address-sampled panel (snail‑mail recruitment, no self‑enrollment) resists AI/bot fraud that plagues opt‑in surveys.
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