Stanford’s annual review aggregates Pew and Ipsos data showing a widening gap: a majority of AI experts expect net benefits (e.g., 84% positive on medicine), while large shares of the U.S. public express fear about jobs and low trust in regulation (U.S. trust = 31%). The split is measurable across sectors (medicine, jobs, economy) and rising nervousness metrics year‑over‑year.
— A growing expert–public sentiment gap changes how policy, regulation, and corporate deployment will be contested and legitimized, increasing the risk of backlash, uneven adoption, and politicized regulation.
BeauHD
2026.04.14
100% relevant
Stanford annual report synthesizing Pew Research (public vs expert percentages) and Ipsos state‑level trust data cited in the Slashdot/TechCrunch coverage.
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