人工智能赋能心理健康服务的信任困境
The Trust Dilemma in Artificial Intelligence Enabled Mental Health Services
DOI: 10.12677/ap.2024.1412942, PDF,   
作者: 石 玉：上海理工大学马克思主义学院，上海
关键词: 人工智能；心理健康服务；信任困境；Artificial Intelligence； Mental Health Services； Trust Dilemma
摘要: 近年来，人工智能技术正逐步渗透心理健康领域的各类场景并重塑该领域的形态与维度，显著提升了服务的可达性和响应效率。然而，由于数据质量、用户接受、隐私保护及从业者态度等方面因素，人工智能在赋能心理健康服务中的信任问题日益凸显，成为不容忽视的挑战。这种信任缺失不仅可能干扰人机协作，还可能影响心理健康服务的整体效果及患者的治疗依从性。为重建信任，本文提出构建负责任的人工智能、提升数据质量与多样性、增强信息透明度、保障用户隐私安全以及提高从业人员的信任和接受度等策略，以期推动人工智能技术在心理健康服务中的可信赖性，从而提升个体心理健康和社会福祉。
Abstract: In recent years, artificial intelligence (AI) technology is gradually penetrating various scenarios and reshaping the shape and dimension of the mental health field, significantly improving service accessibility and response efficiency. However, due to factors such as data quality, user acceptance, privacy protection, and practitioners’ attitudes, the trust issue in AI-enabled mental health services is becoming more and more prominent, and has become a challenge that cannot be ignored. This lack of trust may not only interfere with human-machine collaboration, but also affect the overall effectiveness of mental health services and patients’ treatment compliance. To rebuild trust, this paper proposes strategies to build responsible AI, improve data quality and diversity, enhance information transparency, safeguard user privacy and security, and improve practitioners’ trust and acceptance, with a view to promoting the trustworthiness of AI technology in mental health services, thereby enhancing individual mental health and social well-being.
文章引用：石玉 (2024). 人工智能赋能心理健康服务的信任困境. 心理学进展, 14(12), 735-741. https://doi.org/10.12677/ap.2024.1412942

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