跨学科协作提升AI心理聊天机器人的安全性与合规性
The Cost-Benefit of Interdisciplinarity in AI for Mental Health
- 整合技术、医疗、伦理、法律专家参与全流程开发
- 跨学科协作可满足AI法案对高风险系统的合规要求
- 适合关注AI心理健康应用合规与风险管理的研究者
人工智能被引入以改善心理健康的可及性。然而，大多数AI心理健康聊天机器人仅依赖有限的学科输入，未能在聊天机器人的全生命周期中整合多领域专业知识。本文探讨了跨学科合作在AI心理健康聊天机器人中的成本与收益权衡。我们认为，在关键生命周期阶段融入技术、医疗、伦理和法律专家至关重要，以确保价值对齐并符合《人工智能法案》对高风险系统的严格要求。文章还提出了实用建议和现有框架，帮助平衡跨学科协作带来的挑战与收益。
原文摘要 · Abstract (English)
Artificial intelligence has been introduced as a way to improve access to mental health support. However, most AI mental health chatbots rely on a limited range of disciplinary input, and fail to integrate expertise across the chatbot's lifecycle. This paper examines the cost-benefit trade-off of interdisciplinary collaboration in AI mental health chatbots. We argue that involving experts from technology, healthcare, ethics, and law across key lifecycle phases is essential to ensure value-alignment and compliance with the high-risk requirements of the AI Act. We also highlight practical recommendations and existing frameworks to help balance the challenges and benefits of interdisciplinarity in mental health chatbots.
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