Cloze: An Open Research Platform for Studying Human-AI Conversations in Mental Health Contexts
arXiv:2606.15033v1 Announce Type: cross Abstract: Cloze is an open-source web platform for conducting controlled, monitored studies of human-AI conversation in mental health research contexts. Consumer large language model (LLM) products such as ChatGPT, Claude, and Gemini are built for individual productivity, and offer researchers little experimental control, inconsistent data export, and no shared safety scaffolding that holds across providers. Cloze gives research teams a single environment in which they configure which models participants converse with, how the AI is instructed, how conve
The proliferation of consumer LLMs and their growing use in sensitive areas like mental health are driving demand for more controlled research environments.
This platform addresses critical limitations in using commercial AI for scientific study, enabling rigorous research into human-AI interaction in mental health.
Researchers now have a dedicated open-source tool for empirical studies of AI in mental health, allowing for standardized data collection and ethical oversight.
- · Mental Health Researchers
- · AI Safety Ethicists
- · Open-source AI Developers
- · Commercial LLM Providers (for research contexts)
- · Unstandardized AI-in-mental-health research
Cloze facilitates controlled experiments on AI's efficacy and risks in mental health support.
Improved research quality could lead to evidence-based best practices for AI integration in clinical settings.
This could accelerate both the safe deployment of AI tools in mental health and regulatory frameworks for their use.
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Read at arXiv cs.CL