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Pew Research: Public and AI Experts
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Pew Research Center
Useful empirical baseline for understanding public and expert sentiment on AI governance and safety; relevant for researchers studying societal readiness, policy legitimacy, and communication gaps between AI practitioners and the broader public.
Metadata
Importance: 52/100organizational reportdataset
Summary
A Pew Research Center study comparing attitudes of U.S. adults and AI experts toward artificial intelligence, covering optimism about AI's future, concerns about job displacement, and views on regulation. The study reveals notable divergences between expert and public perspectives on AI risks and benefits.
Key Points
- •AI experts tend to be more optimistic about AI's long-term benefits than the general U.S. public.
- •Both groups express concern about AI's impact on employment, though emphasis and framing differ between experts and the public.
- •Regulatory concerns are prominent for both groups, with debates around oversight, accountability, and government intervention.
- •The study highlights a knowledge and perception gap between those working in AI and everyday Americans.
- •Public trust in AI developers and institutions remains a key variable shaping attitudes toward AI deployment.
Review
The Pew Research report provides a nuanced exploration of how the American public and AI experts perceive artificial intelligence, uncovering substantial gaps in their expectations and attitudes. While AI experts are significantly more optimistic about AI's potential - with 56% believing it will have a positive impact compared to only 17% of the public - both groups share common concerns about regulation and personal control of the technology.
The study reveals critical insights into perceptions of AI across various domains, including job markets, societal impacts, and potential risks. Notably, gender differences emerge prominently, with male experts and members of the public displaying more enthusiasm about AI compared to women. The research also highlights shared skepticism about government and corporate ability to responsibly develop and regulate AI, with approximately 55-62% of both groups expressing low confidence in current oversight mechanisms.
Cited by 3 pages
| Page | Type | Quality |
|---|---|---|
| AI Risk Critical Uncertainties Model | Crux | 71.0 |
| Trust Erosion Dynamics Model | Analysis | 59.0 |
| AI Risk Public Education | Approach | 51.0 |
Resource ID:
40fcdcc3ffba5188 | Stable ID: YjQ2Yjk5Yz