BiasEval-LLM-MentalHealth
importedsoftware/biaseval-llm-mentalhealth
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- arxiv.org/abs/2406.12033
- Documentation
- unknown
- Tags
- fairness · llm · mental-health
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Fair-Codefairness
Auditing algorithmic bias in criminal justice, hiring, lending, healthcare, welfare, and tenant screening: 7 open-source audits, measurable fairness gaps, and concrete fixes.
- fair_cyberbullying_detectionfairness
Source code and models for the paper "Cyberbullying Detection with Fairness Constraints". IEEE Internet Computing, 2020
- shortcut-ood-fairnessfairness
[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization
- careyoullm · mental-health
I'm an AI assistant with extensive knowledge in psychology, and my name is Care.
- cbt-assistantllm · mental-health
A local AI-powered CBT assistant with chat, RAG-based knowledge search, thought journaling, sleep tracking, mood assessments and SOS practices — all running privately on your machine via Ollama.
- cbt-llm-kitllm · mental-health
Guided CBT (Cognitive Behavioral Therapy) thought records for any AI assistant — structured 12-step flow, daily check-ins, and pattern analysis. Works with Claude, Gemini, Cursor, and more.
- api.github.com/repos/EternityYW/BiasEval-LLM-MentalHealthretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-06-21, 12 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/4.json→ .entries["biaseval-llm-mentalhealth"]
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