mental health
5 notes, newest first.
A Computational Ethical Framework for Financial Digital Phenotyping for Mental Health
Researchers propose a computational ethical framework to verify that AI-driven digital phenotyping systems adhere to ethical requirements, specifically focusing on consent, privacy, and fairness. The framework uses…
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
Researchers have proposed a self-evolving framework to improve the quality of depression symptom annotations in AI systems for mental health research. The framework combines large language models with human expertise…
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
Researchers have proposed a new framework to improve the quality of annotations in depression-related datasets for artificial intelligence systems in mental health research. The framework uses a large language model…
Copewell: A Multi-Agent Swarm Architecture for Equitable Mental Wellness Support
The paper presents Copewell, a multi-agent swarm system designed to expand access to mental wellness support through human-centered AI principles. The system is aimed at addressing the lack of treatment for mental…
Auditing Framing-Sensitive Behavioral Instability in Large Language Models for Mental Health Interactions
This research investigates how different contexts (framings) can affect the responses of large language models used in mental health support tools. The study finds that framing does systematically alter interpretive…
