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大型语言模型在心理健康中的应用：系统评估应用、创新与伦理挑战Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges

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以下内容为 AI 自动翻译，英文原文附后供参考。

摘要

最近的一项系统评估探讨了大型语言模型（LLMs）在心理健康领域的应用。研究强调了LLMs的多种用途，包括分析社交媒体内容、作为临床对话代理以及提供治疗支持工具。此外，评估还强调了该领域的进展，特别是提示工程和多模态技术在改善心理健康诊断和监测中的重要性。然而，它也提出了在敏感环境中部署这些技术所面临的伦理挑战。

A recent systematic review has explored the applications of large language models (LLMs) in the field of mental health. The study highlights various uses of LLMs, including their role in analyzing social media content, functioning as clinical conversational agents, and providing support tools for therapy. Additionally, the review emphasizes the advancements made in this area, particularly the importance of prompt engineering and multimodal techniques that can improve mental health diagnosis and monitoring. However, it also raises ethical challenges that come with deploying these technologies in sensitive contexts.

要点

  1. LLMs在心理健康应用中的使用日益增加，展示了它们在各种支持角色中的潜力。

    LLMs are being increasingly utilized in mental health applications, showcasing their potential in various supportive roles.

  2. 评估强调了在将LLMs整合到心理健康实践中时伦理考虑的重要性。

    The review underscores the importance of ethical considerations when integrating LLMs into mental health practices.

  3. 提示工程和多模态方法的进展对于提高LLMs在心理健康中的有效性至关重要。

    Advancements in prompt engineering and multimodal approaches are crucial for enhancing the effectiveness of LLMs in mental health.

为何重要

将LLMs整合到心理健康护理中可能会彻底改变我们诊断和监测心理健康状况的方式，可能导致更个性化和有效的干预。然而，必须解决伦理挑战以确保负责任的使用。

The integration of LLMs into mental health care could revolutionize how we diagnose and monitor mental health conditions, potentially leading to more personalized and effective interventions. However, ethical challenges must be addressed to ensure responsible use.

按谁的角度看

产品经理

对于产品经理而言，了解LLMs在心理健康中的应用及其伦理影响可以为开发以用户为中心的工具提供信息，优先考虑安全性和有效性。

For product managers, understanding the applications and ethical implications of LLMs in mental health can inform the development of user-centric tools that prioritize safety and efficacy.

开发者

开发者应关注提示工程和多模态技术的技术进展，以创建更有效的心理健康应用，同时考虑其工作的伦理影响。

Developers should focus on the technical advancements in prompt engineering and multimodal techniques to create more effective mental health applications, while also considering the ethical ramifications of their work.

学生与求职者

对于学生和求职者而言，这项研究突显了一个不断增长的领域，人工智能与心理健康交叉，提供了在开发创新解决方案方面的职业机会，这些解决方案既解决技术挑战又应对伦理挑战。

For students and job-seekers, this research highlights a growing field where AI intersects with mental health, presenting opportunities for careers in developing innovative solutions that address both technical and ethical challenges.

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