Artificial Intelligence: American Attitudes and Trends
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The rapid development of artificial intelligence technologies and their widespread use in social areas have increased individuals' concerns about these technologies.
“The rapid development of artificial intelligence technologies and their widespread use in social areas have increased individuals' concerns about these technologies.”
From Development of the Artificial Intelligence Perception and Attitude Scale (AIPAS) (2025) · cites this paper as Zhang & Dafoe, 2019
Issues such as the impact of technology on the labour force, privacy violations and ethical problems cause individuals to increase their anxiety levels.
“In particular, issues such as the impact of technology on the labour force, privacy violations and ethical problems cause individuals to increase their anxiety levels (Zhang & Dafoe, 2019).”
From Development of the Artificial Intelligence Perception and Attitude Scale (AIPAS) (2025) · cites this paper as Zhang & Dafoe, 2019
The Negative Perception sub-dimension connects with the growing body of research on 'AI anxiety'.
“Conversely, the Negative Perception sub-dimension, addressing concerns and anxieties related to AI, connects with the growing body of research on 'AI anxiety' (Wang & Wang, 2022;Zhang & Dafoe, 2019;Schiavo et al., 2024).”
From Development of the Artificial Intelligence Perception and Attitude Scale (AIPAS) (2025) · cites this paper as Zhang & Dafoe, 2019
Technical familiarity not only shapes attitudes toward AI but also moderates demand for governance safeguards.
“This finding refines earlier work (Zhang and Dafoe 2019) by showing that technical familiarity not only shapes attitudes toward AI but also moderates demand for governance safeguards.”
From Accountability in Government Use of <scp>AI</scp> : Citizen Concerns and Preferences (2025) · cites this paper as Zhang and Dafoe 2019
These concerns mirror findings from the United States, Norway, and the United Kingdom.
“These concerns mirror the findings from the United States (Zhang and Dafoe 2019), Norway (Schmager et al. 2024), and the United Kingdom (Haesevoets et al. 2024).”
From Accountability in Government Use of <scp>AI</scp> : Citizen Concerns and Preferences (2025) · cites this paper as Zhang and Dafoe 2019
This approach was similar to that used in the study by Zhang and Dafoe, although our approach went further by adjusting for behavioral and lifestyle variables and 2 substantive variables.
“This approach was similar to that used in the study by Zhang and Dafoe [26], although our approach for the AVA-AI study went further by adjusting for behavioral and lifestyle variables and 2 substantive variables.”
Both the AVA-AI study and the Monash survey suggest more positive general views on AI in Australia than in the United States.
“Both the AVA-AI study and the Monash survey suggest more positive general views in Australia than in the United States, although the results of the AVA-AI study are less positive than those of the Monash survey.”
Cites
The preregistration revolution
Nosek, B. A., Ebersole, C. R., DeHaven, A. C., & Mellor, D. T. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1708274114 · Cited by 1,998 · see citing works
Automation, skills use and training
Nedelkoska, L., & Quintini, G. (2018) · OECD social employment and migration working papers · doi:10.1787/2e2f4eea-en · Cited by 990 · see citing works
AI super-powers: China, Silicon Valley and the new world order
Klingler‐Vidra, R. (2019) · International Affairs · doi:10.1093/ia/iiz011 · Cited by 618 · see citing works
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think
Rosling, H., Rosling, O., & Rönnlund, A. R. (2018) · Medical Entomology and Zoology · Cited by 583 · see citing works
Viewpoint: when will AI exceed human performance? evidence from AI experts
Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O. (2018) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.11222 · Cited by 579 · see citing works
Self-citationMcCorduck, P., & Cfe, C. (2004) · A K Peters/CRC Press eBooks · doi:10.1201/9780429258985 · Cited by 406 · see citing works
Artificial Intelligence's White Guy Problem
Crawford, K. (2016) · Cited by 183 · see citing works
The Long-lasting Effects of Newspaper Op-Eds on Public Opinion
Coppock, A., Ekins, E. E., & Kirby, D. (2018) · Quarterly Journal of Political Science · doi:10.1561/100.00016112 · Cited by 140 · see citing works
Expert and non-expert opinion about technological unemployment
Walsh, T. (2018) · International Journal of Automation and Computing · doi:10.1007/s11633-018-1127-x · Cited by 122 · see citing works
Avi Goldfarb, B., & Trefler, D. (2018) · National Bureau of Economic Research · doi:10.3386/w24254 · Cited by 118 · see citing works
Differential response rates in postal and Web-based surveys in older respondents
Bech, M., & Kristensen, M. B. (2007) · Survey research methods · doi:10.18148/srm/2009.v3i1.592 · Cited by 96 · see citing works
Shin, E.-J., Johnson, T. P., & Rao, K. (2011) · Social Science Computer Review · doi:10.1177/0894439311404508 · Cited by 83 · see citing works
Bronner, F. E., & Kuijlen, T. (2007) · International Journal of Market Research · doi:10.1177/147078530704900204 · Cited by 74 · see citing works
Standard Operating Procedures: A Safety Net for Pre-Analysis Plans
Lin, W., & Green, D. P. (2016) · Political Science and Politics · doi:10.1017/s1049096516000810 · Cited by 71 · see citing works
Separate and unequal: black Americans and the US federal government
(1996) · Choice Reviews Online · doi:10.5860/choice.33-4202 · Cited by 68 · see citing works
Nagelhout, G. E., Willemsen, M. C., Thompson, M. E., Fong, G. T., van den Putte, B., & de Vries, H. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-351 · Cited by 62 · see citing works
Future progress in artificial intelligence
Müller, V. C., & Bostrom, N. (2014) · AI Matters · doi:10.1145/2639475.2639478 · Cited by 57 · see citing works
Heer, J. (2018) · AI Matters · doi:10.1145/3284751.3284760 · Cited by 22 · see citing works
Does Product Placement Change Television Viewers’ Social Behavior?
Paluck, E. L., Lagunes, P., GREEN, D. P., Vavreck, L., Peer, L., & Gomila, R. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138610 · Cited by 19 · see citing works
The Entrepreneurial University
Barrow, C. W. (2015) · SensePublishers eBooks · doi:10.1007/978-94-6209-914-2_4 · Cited by 11 · see citing works
A study of factors influencing media choice in Norwegian organizations
Chidambaram, L., Moe, C. E., & Olsen, D. H. (2002) · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.1109/hicss.1998.653090 · Cited by 11 · see citing works
Promised land: base Christian communities and the struggle for the Amazon
(1996) · Choice Reviews Online · doi:10.5860/choice.33-4098 · Cited by 10 · see citing works
Li, K., Xiang, M., Hu, Y., et al. (2018) · Journal of Applied Fluid Mechanics · doi:10.29252/jafm.11.03.28239 · Cited by 4 · see citing works
INTERGOVERNMENTAL COMMITTEE FOR MIGRATION
JAHN, E. (1983) · Elsevier eBooks · doi:10.1016/b978-0-444-86236-5.50019-5 · Cited by 3 · see citing works
(2015) · doi:10.7551/978-0-262-33027-5 · Cited by 3 · see citing works
(1999) · De Gruyter eBooks · doi:10.1515/9783110903324-104 · Cited by 3 · see citing works
(2006) · Kluwer Academic Publishers eBooks · doi:10.1007/0-306-48380-7_1319 · Cited by 2 · see citing works
On the organization of scientific work of the general government
Powell, J. W. (1886) · doi:10.3133/70042652 · Cited by 2 · see citing works
(2006) · Springer eBooks · doi:10.1007/978-3-540-29805-2_1209 · Cited by 2 · see citing works
(2006) · Kluwer Academic Publishers eBooks · doi:10.1007/0-306-48380-7_1331 · Cited by 2 · see citing works
Kretsinger, R. H., Uversky, V. N., & Permyakov, E. A. (2013) · Springer eBooks · doi:10.1007/978-1-4614-1533-6_100493 · Cited by 2 · see citing works
(2006) · Springer eBooks · doi:10.1007/978-3-540-29805-2_1503 · Cited by 1 · see citing works
Moe, S. B., & Rud, N. J. (1972) · Books Abroad · doi:10.2307/40126640 · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
What is AI Literacy? Competencies and Design Considerations
Long, D., & Magerko, B. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376727 · Cited by 3,241 · see citing works
Initial validation of the general attitudes towards Artificial Intelligence Scale
Schepman, A., & Rodway, P. (2020) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2020.100014 · Cited by 785 · see citing works
Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O., & Demir Kaya, M. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2151730 · Cited by 688 · see citing works
Schepman, A., & Rodway, P. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2085400 · Cited by 503 · see citing works
Attachment and trust in artificial intelligence
Gillath, O., Ai, T., Branicky, M. S., Keshmiri, S., Davison, R. B., & Spaulding, R. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106607 · Cited by 448 · see citing works
Grassini, S. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1191628 · Cited by 330 · see citing works
Carter, S. M., Rogers, W., Win, K. T., Frazer, H., Richards, B., & Houssami, N. (2020) · The Breast · doi:10.1016/j.breast.2019.10.001 · Cited by 312 · see citing works
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., Khlaaf, H., Yang, J., Toner, H., Fong, R., et al. (2020) · arXiv · doi:10.48550/arxiv.2004.07213 · Cited by 306 · see citing works
“Indeed, studies [17], surveys [18], and trends in worker and community organizing [2] [3] make clear that large swaths of the public are concerned about the risks of AI development, and do not trust the organizations currently dominating such development to self-regulate effectively.”
BackgroundSelf-citationPark, J., & Woo, S. E. (2022) · The Journal of Psychology · doi:10.1080/00223980.2021.2012109 · Cited by 243 · see citing works
Health Care Students’ Perspectives on Artificial Intelligence: Countrywide Survey in Canada
Teng, M., Singla, R., Yau, O., Lamoureux, D., Gupta, A., Hu, Z., Hu, R., Aissiou, A., Eaton, S., Hamm, C., et al. (2022) · JMIR Medical Education · doi:10.2196/33390 · Cited by 214 · see citing works
Bergdahl, J., Latikka, R., Celuch, M., Savolainen, I., Soares Mantere, E., Savela, N., & Oksanen, A. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.102013 · Cited by 204 · see citing works
Sindermann, C., Yang, H., Elhai, J. D., Yang, S., Quan, L., Li, M., & Montag, C. (2022) · Discover Psychology · doi:10.1007/s44202-022-00020-y · Cited by 175 · see citing works
Artificial Intelligence in Government: Taking Stock and Moving Forward
Medaglia, R., Gil-Garcia, J. R., & Pardo, T. A. (2023) · Social Science Computer Review · doi:10.1177/08944393211034087 · Cited by 159 · see citing works
Assessing public value failure in government adoption of <scp>artificial intelligence</scp>
Schiff, D. S., Schiff, K. J., & Pierson, P. (2022) · Public Administration · doi:10.1111/padm.12742 · Cited by 155 · see citing works
Responsible AI: Requirements and challenges
Ghallab, M. (2019) · AI Perspectives · doi:10.1186/s42467-019-0003-z · Cited by 120 · see citing works
Maas, M. M. (2019) · Contemporary Security Policy · doi:10.1080/13523260.2019.1576464 · Cited by 86 · see citing works
Fietta, V., Zecchinato, F., Stasi, B. D., Polato, M., & Monaro, M. (2022) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2021.3125280 · Cited by 81 · see citing works
Pokrivcakova, S. (2023) · Journal of language and cultural education · doi:10.2478/jolace-2023-0031 · Cited by 81 · see citing works
Adamakis, M., & Rachiotis, T. (2025) · Encyclopedia · doi:10.3390/encyclopedia5040180 · Cited by 76 · see citing works
Horowitz, M. C., & Kahn, L. (2024) · International Studies Quarterly · doi:10.1093/isq/sqae020 · Cited by 68 · see citing works
AI-deploying organizations are key to addressing ‘perfect storm’ of AI risks
Curtis, C., Gillespie, N., & Lockey, S. (2023) · AI and Ethics · doi:10.1007/s43681-022-00163-7 · Cited by 43 · see citing works
Isbanner, S., O’Shaughnessy, P., Steel, D., Wilcock, S., & Carter, S. (2022) · Journal of Medical Internet Research · doi:10.2196/37611 · Cited by 45 · see citing works
Accountability in Government Use of <scp>AI</scp> : Citizen Concerns and Preferences
Feng, N., & Chandra, Y. (2025) · Public Administration · doi:10.1111/padm.70030 · Cited by 18 · see citing works
Møgelvang, A., & Grassini, S. (2025) · Discover Education · doi:10.1007/s44217-025-00657-6 · Cited by 16 · see citing works
Development of the Artificial Intelligence Perception and Attitude Scale (AIPAS)
Dinler, H. (2025) · Bartın University Journal of Faculty of Education · doi:10.14686/buefad.1602673 · Cited by 4 · see citing works
- Authors
- Zhang, B., & Dafoe, A.
- Affiliations
- Centre for the Governance of AI (GB)
- University of Oxford (GB)
- Corresponding author
- Zhang, Baobao
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2019
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W2944277342
- Cited by
- 464
- References
- 33
- Citations by year
- 2026: 70 · 2025: 118 · 2024: 87 · 2023: 53 · 2022: 43 · 2021: 55 · 2020: 26 · 2019: 11 · 2018: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence, public attitudes toward AI, AI governance, workplace automation, international cooperation on AI, American public opinion
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