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Public Perception of AI: A Review

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HCI International 2024 – Late Breaking Papers (HCII 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15382))

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Abstract

This review gives designers deeper insights into public perceptions of artificial intelligence (AI). Ethical complexities surround AI, including privacy concerns, social deployment, and nonhuman decision-making. This project included English-language, peer-reviewed surveys and reviews published within the past five years. It also conducts topic modeling of one year's worth of social media data. Data were gathered from various academic databases and social media platforms and analyzed with topic modeling and sentiment analysis to provide external validation of insights into public sentiment and attitudes towards AI. Surveys and reviews worldwide revealed an understanding of AI concepts and positive sentiment toward AI integration in healthcare. Concerns persisted regarding data privacy, safety, and AI's impact on employment. Individual factors like age and education influence attitudes. Reviews mirrored survey findings with safety concerns about autonomous vehicles and calls for collaboration and regulation in clinical AI implementation. Social media discussions delved into AI's ethical, market, and policy implications, but Quora leaned more positively and Reddit more speculatively. Reviews, surveys, and social media provide insights into global attitudes toward AI, highlighting widespread understanding but persistent concerns. Collaboration, regulation, and ongoing education are essential for responsible AI integration across domains and regions to address privacy, security, and ethical concerns. Designers must prioritize transparency, accountability, and human-centered design to build trust and address public apprehensions.

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References

  1. Roundtree, A.K.: AI explainability, interpretability, fairness, and privacy: an integrative review of reviews. In: Degen, H., Ntoa, S. (eds.) Artificial Intelligence in HCI. HCII 2023. LNCS, vol. 14050. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-35891-3_19

  2. Roundtree, A.K.: Ethics and facial recognition technology: an integrative review. In: 2021 3rd World Symposium on Artificial Intelligence (WSAI), pp. 10–19. IEEE (2021)

    Google Scholar 

  3. Vu, H.T., Lim, J.: Effects of country and individual factors on public acceptance of artificial intelligence and robotics technologies: a multilevel SEM analysis of 28-country survey data. Behav. Inform. Technol. 41(7), 1515–1528 (2022)

    Article  MATH  Google Scholar 

  4. Vo, V., Chen, G., Aquino, Y.S.J., Carter, S., Do, Q., Woode, M.E.: Multi-stakeholder preferences for the use of artificial intelligence in healthcare: a systematic review and thematic analysis. Soc. Sci. Med. 116357, 1–11 (2023)

    Google Scholar 

  5. Kozyreva, A., Herzog, S., Lorenz-Spreen, P., Hertwig, R., Lewandowsky, S.: Artificial intelligence in online environments: representative survey of public attitudes in Germany. Max Planck Institute for Human Development and the University of Bristol (2020)

    Google Scholar 

  6. Cui, D., Wu, F.: The influence of media use on public perceptions of artificial intelligence in China: evidence from an online survey. Inf. Dev. 37(1), 45–57 (2021)

    Article  MATH  Google Scholar 

  7. Sun, M., Hu, W., Wu, Y.: Public perceptions and attitudes towards the application of artificial intelligence in journalism: From a China-based survey. Journalism Practice, pp. 1–23 (2022)

    Google Scholar 

  8. Guha, S.: Public perspectives on Healthcare and Artificial Intelligence (AI): a survey study. Int. J. Innov. Educ. Res. 9(7), 1–8 (2021)

    Article  MATH  Google Scholar 

  9. Chen, Y.Y., Li, Y., Li, C.J.: Could artificial intelligence make human doctors obsolete? A survey based on public attitudes. Eur. J. Public Health Suppl. 5, 544 (2020)

    MATH  Google Scholar 

  10. Stai, B., et al.: Public perceptions of artificial intelligence and robotics in medicine. J. Endourol. 34(10), 1041–1048 (2020)

    Article  MATH  Google Scholar 

  11. Tamori, H., Yamashina, H., Mukai, M., Morii, Y., Suzuki, T., Ogasawara, K.: Acceptance of the use of artificial intelligence in medicine among Japan’s doctors and the public: a questionnaire survey. JMIR Hum. Factors 9(1), e24680, pp. 1–10 (2022)

    Google Scholar 

  12. Bisdas, S., Topriceanu, C.C., Zakrzewska, Z., Irimia, A.V., Shakallis, L., Subhash, J.: Artificial intelligence in medicine: a multinational multi-center survey on the medical and dental students’ perception. Front Public Health, pp. 1–9 (2021)

    Google Scholar 

  13. Beets, B., Newman, T.P., Howell, E.L., Bao, L., Yang, S.: Surveying public perceptions of artificial intelligence in health care in the United States: systematic review. J. Med. Internet Res. 25(e40337), 1–12 (2023)

    Google Scholar 

  14. Othman, K.: Public acceptance and perception of autonomous vehicles: a comprehensive review. AI Ethics 1(3), 355–387 (2021)

    Article  MATH  Google Scholar 

  15. Hogg, H.D.J., et al.: Stakeholder perspectives of clinical artificial intelligence implementation: systematic review of qualitative evidence. J. Med. Internet Res. 25, e39742, 1–22 (2023)

    Google Scholar 

  16. Yang, L., Ene, I.C., Arabi Belaghi, R., Koff, D., Stein, N., Santaguida, P.: Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review. Eur. Radiol. 32(3), 1477–1495 (2022)

    Article  Google Scholar 

  17. Young, A.T., Amara, D., Bhattacharya, A., Wei, M.L.: Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review. Lancet Digital Health 3(9), E599-e611 (2021)

    Article  Google Scholar 

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Acknowledgments

Funding from the NEC Foundation supported this project.

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Authors and Affiliations

  1. Texas State University, San Marcos, TX, 78666, USA

    Aimee Kendall Roundtree

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  1. Aimee Kendall Roundtree
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Correspondence to Aimee Kendall Roundtree .

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Editors and Affiliations

  1. Siemens Corporation, Princeton, NJ, USA

    Helmut Degen

  2. and Technology - Hellas, Foundation for Research, Heraklion, Crete, Greece

    Stavroula Ntoa

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Kendall Roundtree, A. (2024). Public Perception of AI: A Review. In: Degen, H., Ntoa, S. (eds) HCI International 2024 – Late Breaking Papers. HCII 2024. Lecture Notes in Computer Science, vol 15382. Springer, Cham. https://doi.org/10.1007/978-3-031-76827-9_5

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  • DOI: https://doi.org/10.1007/978-3-031-76827-9_5

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  • Print ISBN: 978-3-031-76826-2

  • Online ISBN: 978-3-031-76827-9

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