U.S. Public Opinion on the Governance of Artificial Intelligence
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Abstract (arXiv)
Artificial intelligence (AI) has widespread societal implications, yet social scientists are only beginning to study public attitudes toward the technology. Existing studies find that the public's trust in institutions can play a major role in shaping the regulation of emerging technologies. Using a large-scale survey (N=2000), we examined Americans' perceptions of 13 AI governance challenges as well as their trust in governmental, corporate, and multistakeholder institutions to responsibly develop and manage AI. While Americans perceive all of the AI governance issues to be important for tech companies and governments to manage, they have only low to moderate trust in these institutions to manage AI applications.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Dec 2019.
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Citing papers per year: 2023: 2; 2024: 3; 2025: 4; 2026: 2.
11 papers.
- 2023Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trustcited by 9
- 2024Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video Analysiscited by 7
- 2025Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articlescited by 6
- 2024Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governancecited by 3
- 2025Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Makingcited by 2
- 2025The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platformcited by 2
- 2023Finnish 5th and 6th graders' misconceptions about Artificial Intelligencecited by 0
- 2024Implications for Governance in Public Perceptions of Societal-scale AI Riskscited by 0
- 2025Trust, Experience, and Innovation: Key Factors Shaping American Attitudes About AIcited by 0
- 2026Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QAcited by 0
- 2026Whose Voice Counts? Mapping Stakeholder Perspectives on AI Through Public Submissions to the U.S. Governmentcited by 0
- 2026Whose Voice Counts? Mapping Stakeholder Perspectives on AI Through Public Submissions to the U.S. Government21 May 2026
- 2026Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA25 Mar 2026
- 2025Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles24 Oct 2025
- 2025The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platform8 Apr 2025
- 2025Trust, Experience, and Innovation: Key Factors Shaping American Attitudes About AI4 Mar 2025
- 2025Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making24 Jan 2025
- 2024Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video Analysis15 Sep 2024
- 2024Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance26 Jul 2024
- 2024Implications for Governance in Public Perceptions of Societal-scale AI Risks10 Jun 2024
- 2023Finnish 5th and 6th graders' misconceptions about Artificial Intelligence28 Nov 2023
- 2023Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust19 Aug 2023