Front. Artif. Intell. Frontiers in Artificial Intelligence Front. Artif. Intell. 2624-8212 Frontiers Media S.A. 10.3389/frai.2025.1751706 Correction Correction: Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors Shrivastava Priyanka * Hult International Business School, San Francisco, CA, United States Correspondence: Priyanka Shrivastava, priyanka.shrivastava@faculty.hult.edu 12 02 2026 2025 8 1751706 21 11 2025 12 12 2025 Copyright © 2026 Shrivastava. 2026 Shrivastava https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. A Correction on Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors by Shrivastava, P. (2025). Front. Artif. Intell. 8:1565927. doi: 10.3389/frai.2025.1565927 technology adoption model protection motivation theory generative AI adoption social exchange theory (SET) acceptance resistance framework section-at-acceptance AI in Business

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They will be removed from the article.

Aydin and Sirkeci (2024) should be replaced with: Kim, H., So, K. K. F., Shin, S., and Li, J. (2024). Artificial intelligence in hospitality and tourism: Insights from industry practices, research literature, and expert opinions. J. Hosp. Tour. Res. 49, 366–385. doi: 10.1177/10963480241229235.

The original version of this article has been updated.

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Edited and reviewed by: Margaret A. Goralski, Quinnipiac University, United States