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Johns Hopkins UniversityJohns Hopkins University
RESEARCHJohns Hopkins University2026-06-15

Johns Hopkins Survey Maps American Attitudes Toward AI Regulation and Societal Impact

Key Takeaways

  • ▸Large-scale national survey of 2,122 Americans provides baseline data on AI regulation attitudes and public concerns
  • ▸Survey addresses trust gaps, expected impacts on power and inequality, and concerns about job meaning and automation
  • ▸Interactive explorer enables demographic breakdowns and comparative analysis across political and age groups
Source:
Hacker Newshttps://futurerealities.org/poll/2026/↗

Summary

Researchers from Johns Hopkins University, in partnership with polling firm SurveyUSA, conducted a nationally representative survey of 2,122 American adults to measure public attitudes toward AI regulation and its societal implications. The survey explored critical questions about where Americans trust or distrust AI systems, how they believe AI will reshape power dynamics and inequality, and their concerns about the future of meaningful work. To make the findings accessible, the research team built an interactive data explorer that allows users to examine results across demographic categories including age, political identity, and other variables. The complete dataset and questionnaire are publicly available for independent analysis.

  • Full data and methodology are publicly released, enabling independent verification and deeper analysis
  • Includes interactive quiz tool allowing individuals to compare their own AI attitudes to national trends

Editorial Opinion

This survey fills an important gap in quantitative data about American public opinion on AI governance. Rather than relying on speculation or anecdotal reporting, having a rigorous, nationally representative sample provides policymakers and industry leaders with grounded evidence of public concerns. The decision to open-source the data and methodology sets a valuable precedent for how academic AI research should inform the policy and business conversations shaping AI's future.

Data Science & AnalyticsScience & ResearchRegulation & PolicyEthics & Bias

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