Designing Responsible AI for Mental Well-being: A New Framework
Analysis
This research provides a fascinating framework for designing and evaluating Large Language Model (LLM) tools that support mental well-being. It offers clear analogies to help developers and users understand the responsibilities associated with these tools, paving the way for safer and more effective AI-driven support.
Key Takeaways
- •The research establishes a framework for responsibly designing and evaluating LLM tools for mental well-being.
- •It uses analogies (e.g., supplement, drug) to clarify the varying levels of responsibility associated with these tools.
- •The framework considers both the benefits and guarantees of an LLM, along with defining who the benefits apply to.
Reference / Citation
View Original"By interviewing experts and analyzing related regulations, we found that designing an LLM tool responsibly involves: (1) Articulating the specific benefits it guarantees and for whom."
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ArXiv HCIFeb 4, 2026 05:00
* Cited for critical analysis under Article 32.