Artificial Intelligence-Enabled Volunteer Services: Intrinsic Logic, Practical Dilemmas, and Adjustment Strategies

Shihan Yuan

doi:10.62051/ijgem.v8n2.22

Authors

Shihan Yuan

DOI:

https://doi.org/10.62051/ijgem.v8n2.22

Keywords:

Artificial Intelligence, Volunteer Services, Digital Empowerment, AI for Good

Abstract

In the context of Digital China and the broader drive toward Chinese modernization, artificial intelligence has emerged as a critical catalyst for advancing volunteer services. This paper examines how AI promotes efficiency through digital intelligence empowerment, reinforces ethical practices via mechanism innovation, and fosters collaborative synergy through platform construction. Despite these advancements, challenges such as value conflicts, coordination gaps, and uneven resource distribution continue to impede progress. To address these issues, a three-dimensional strategy encompassing conceptual, mechanistic, and resource-based adjustments is proposed to facilitate sustainable integration. This study provides both theoretical insights and practical guidance for the digital transformation of volunteer services and the modernization of social governance.

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References

[1] L. Liu: Digital Empowerment of the High-Quality Development of the Chinese Social Governance Community, Renmin Forum: Academic Frontiers, Vol. 2024 No.21, p.89-103.

[2] Information on https://www.gov.cn/zhengce/zhengceku/202508/content_7037862.html

[3] Information on https://www.gov.cn/gongbao/2024/issue_11326/202405/content_6949619.html.

[4] G. Gao, L. Li: Optimizing the Operation Mechanism of the New Era Civilization Practice Center—A Practice Approach Based on Digital Embedding, Party and Government Research, Vol. 2023 No.4, p.91-100+127.

[5] A.C. Bouarar, S. Mouloudj, T.P. Umar and K. Mouloudj: Antecedents of Physicians' Intentions to Engage in Digital Volunteering Work: An Extended Technology Acceptance Model (TAM) Approach, Journal of Integrated Care, Vol. 31 (2023) No.4, p.285-299.

[6] Z. Wang, J. Xie: Data Technology Empowering College Students' Community Volunteering: Logical Path, Application Field and Implementation Path, Educational Science, Vol. 41 (2025) No.1, p.75-82.

[7] Y. Yang: From Digital Empowerment to Ecological Construction: Innovative Mechanisms for Volunteer Service in the New Era Civilization Practice, People’s Forum, Vol. 2024 (2024) No.3, p.69-73.

[8] C. Thewes, A. Sept and R. Richter: A Voluntary Divide? Exploring the Role of Digitalisation in German Rural Volunteering, European Countryside, Vol. 16 (2024) No.1, p.43-63.

[9] M. Tu, M. Peng, D. Wu and et al.: Research Report on Volunteer Service Optimization Model Driven by Big Data, China Youth Research, Vol. 2020 No.4, p.62-68.

[10] E. Woodruff: Making AI Tutors Empathetic and Conscious: A Needs-Driven Pathway to Synthetic Machine Consciousness, AI, Vol. 6 (2025) No.8, p.193-193.

[11] A. da Conceição Pereira: Data, AI Systems, and Society: Ethical Dilemmas in the Digital Age, AI and Ethics, Vol. 2025 No.(prepublish), p.1-10.

[12] A. Caridà, M. Colurcio and M. Melia: Digital Platform for Social Innovation: Insights from Volunteering, Creativity and Innovation Management, Vol. 31 (2022) No.4, p.755-771.