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What governs attitudes toward artificial intelligence adoption and governance?

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  • O'Shaughnessy, Matthew
  • Schiff, Daniel S.

    (Purdue University)

  • Varshney, Lav R.
  • Rozell, Christopher
  • Davenport, Mark

Abstract

Designing effective and inclusive governance and public communication strategies for artificial intelligence (AI) requires understanding how stakeholders reason about its use and governance. We examine underlying factors and mechanisms that drive attitudes toward the use and governance of AI across six policy-relevant applications using structural equation modeling and surveys of both U.S. adults (N=3524) and technology workers enrolled in an online computer science master’s degree program (N=425). We find that the cultural values of individualism, egalitarianism, general risk aversion, and techno-skepticism are important drivers of AI attitudes. Perceived benefit drives attitudes toward AI use, but not its governance. Experts hold more nuanced views than the public, and are more supportive of AI use but not its regulation. Drawing on these findings, we discuss challenges and opportunities for participatory AI governance, and we recommend that trustworthy AI governance be emphasized as strongly as trustworthy AI.

Suggested Citation

  • O'Shaughnessy, Matthew & Schiff, Daniel S. & Varshney, Lav R. & Rozell, Christopher & Davenport, Mark, 2021. "What governs attitudes toward artificial intelligence adoption and governance?," OSF Preprints pkeb8_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:pkeb8_v1
    DOI: 10.31219/osf.io/pkeb8_v1
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    References listed on IDEAS

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    1. Ortwin Renn & Christina Benighaus, 2013. "Perception of technological risk: insights from research and lessons for risk communication and management," Journal of Risk Research, Taylor & Francis Journals, vol. 16(3-4), pages 293-313, April.
    2. Adam J. Berinsky & Michele F. Margolis & Michael W. Sances, 2014. "Separating the Shirkers from the Workers? Making Sure Respondents Pay Attention on Self‐Administered Surveys," American Journal of Political Science, John Wiley & Sons, vol. 58(3), pages 739-753, July.
    3. Dan M. Kahan & Hank Jenkins-Smith & Donald Braman, 2011. "Cultural cognition of scientific consensus," Journal of Risk Research, Taylor & Francis Journals, vol. 14(2), pages 147-174, February.
    4. James N. Druckman & Mary C. McGrath, 2019. "The evidence for motivated reasoning in climate change preference formation," Nature Climate Change, Nature, vol. 9(2), pages 111-119, February.
    5. Matthew J. Hornsey & Emily A. Harris & Kelly S. Fielding, 2018. "Relationships among conspiratorial beliefs, conservatism and climate scepticism across nations," Nature Climate Change, Nature, vol. 8(7), pages 614-620, July.
    6. Mavrommati, Georgia & Borsuk, Mark E. & Kreiley, Allison I. & Larosee, Christopher & Rogers, Shannon & Burford, Klancey & Howarth, Richard B., 2021. "A methodological framework for understanding shared social values in deliberative valuation," Ecological Economics, Elsevier, vol. 190(C).
    7. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    8. Dan M. Kahan & Donald Braman & John Gastil & Paul Slovic & C. K. Mertz, 2007. "Culture and Identity‐Protective Cognition: Explaining the White‐Male Effect in Risk Perception," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 4(3), pages 465-505, November.
    9. Richard P. Barke & Hank C. Jenkins‐Smith, 1993. "Politics and Scientific Expertise: Scientists, Risk Perception, and Nuclear Waste Policy," Risk Analysis, John Wiley & Sons, vol. 13(4), pages 425-439, August.
    10. Branden B. Johnson & Brendon Swedlow, 2021. "Cultural Theory's Contributions to Risk Analysis: A Thematic Review with Directions and Resources for Further Research," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 429-455, March.
    11. Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2017. "Psychological roadblocks to the adoption of self-driving vehicles," Nature Human Behaviour, Nature, vol. 1(10), pages 694-696, October.
    12. Joseph T. Ripberger & Geoboo Song & Matthew C. Nowlin & Michael D. Jones & Hank C. Jenkins-Smith, 2012. "Reconsidering the Relationship Between Cultural Theory, Political Ideology, and Political Knowledge," Social Science Quarterly, Southwestern Social Science Association, vol. 93(3), pages 713-731, September.
    13. James Flynn & Paul Slovic & C. K. Mertz, 1994. "Gender, Race, and Perception of Environmental Health Risks," Risk Analysis, John Wiley & Sons, vol. 14(6), pages 1101-1108, December.
    14. Ellis, Richard J. & Thompson, Fred, 1997. "Culture and the Environment in the Pacific Northwest," American Political Science Review, Cambridge University Press, vol. 91(4), pages 885-897, December.
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