A Checklist for Trustworthy, Safe, and User-Friendly Mental Health Chatbots
This work tackles the problem of ensuring safe and ethical mental health chatbots for users and developers, though it is incremental as it builds on existing literature without introducing a new method or paradigm.
The paper addresses the lack of safety and trustworthiness in mental health chatbots by developing an operational checklist to guide their design and implementation, aiming to support more responsible practices and new standards for digital mental health tools.
Mental health concerns are rising globally, prompting increased reliance on technology to address the demand-supply gap in mental health services. In particular, mental health chatbots are emerging as a promising solution, but these remain largely untested, raising concerns about safety and potential harms. In this paper, we dive into the literature to identify critical gaps in the design and implementation of mental health chatbots. We contribute an operational checklist to help guide the development and design of more trustworthy, safe, and user-friendly chatbots. The checklist serves as both a developmental framework and an auditing tool to ensure ethical and effective chatbot design. We discuss how this checklist is a step towards supporting more responsible design practices and supporting new standards for sociotechnically sound digital mental health tools.