Authors: Inhwa Song, Sachin R. Pendse, Neha Kumar, Munmun De Choudhury

Published on: January 25, 2024

Impact Score: 7.8

Arxiv code: Arxiv:2401.14362

Summary

• What is new: Introduces the concept of therapeutic alignment, focusing on aligning AI with therapeutic values for mental health contexts.
• Why this is important: General-purpose LLM chatbots pose risks to users’ welfare when not designed responsibly for mental health support.
• What the research proposes: Recommendations for designing LLM chatbots and AI tools that align with therapeutic values and effectively support mental health.
• Results: Insights from interviews with 21 individuals show how users create unique support roles for chatbots and navigate their limitations.

Technical Details

Technological frameworks used: nan

Models used: Large Language Models (LLMs)

Data used: Interviews with 21 individuals from diverse backgrounds

Potential Impact

Mental health care providers, AI chatbot developers, and companies in the mental wellness app market

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