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World J Psychiatry. Aug 19, 2026; 16(8): 115735
Published online Aug 19, 2026. doi: 10.5498/wjp.115735
Published online Aug 19, 2026. doi: 10.5498/wjp.115735
Involvement of artificial intelligence as a psychological education workforce in the “Internet+” era
Shu-Meng Shen, Zheng-Wei Huang, College of Pharmacy, Jinan University, Guangzhou 511443, Guangdong Province, China
Wen-Hao Wang, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, Guangdong Province, China
Co-corresponding authors: Zheng-Wei Huang and Wen-Hao Wang.
Author contributions: Shen SM contributed to manuscript writing, file sorting, core tip writing and figures making; Huang ZW and Wang WH contributed to theoretical framework, supervision, proofreading, and submission, and they contributed equally to this manuscript as co-corresponding authors. All authors have read and approved the final manuscript.
AI contribution statement: No AI tools were used in the preparation of this manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Zheng-Wei Huang, PhD, Associate Professor, College of Pharmacy, Jinan University, No. 855 East Xingye Dadao, Panyu District, Guangzhou 511443, Guangdong Province, China. huangzhengw@jnu.edu.cn
Received: October 24, 2025
Revised: November 24, 2025
Accepted: January 12, 2026
Published online: August 19, 2026
Processing time: 272 Days and 1 Hours
Revised: November 24, 2025
Accepted: January 12, 2026
Published online: August 19, 2026
Processing time: 272 Days and 1 Hours
Core Tip
Core Tip: In the “Internet+” era, artificial intelligence (AI) has great potential as a psychological education workforce. This article proposed that AI can contribute to psychological education through AI-based questionnaire surveys, AI-assisted courses, and AI-driven counseling. These approaches offer advantages such as efficiency, personalization, and accessibility. However, AI has its limitations and should not be over-relied upon. We advocate for the cautious adoption of AI and the implementation of small-scale trials to optimize its application in psychological education.