responsible_xai
by jphall663
Guidelines for the responsible use of explainable AI and machine learning.
AI summary
AI responsibility guidelines
Guidelines and resources for the development of responsible AI systems
- stars
- 17
- forks
- 6
- watching
- 6
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
AI resources
An online repository providing resources and information on explainable AI, algorithmic fairness, ML security, and related topics
XAI library
A collection of resources and papers related to Explainable Artificial Intelligence (XAI) for machine learning model interpretability.
AI guidance
Provides resources and guidance on AI/ML best practices and examples for use in Azure Vision AI
ethicalml/xai1.1K
Bias analysis tool
An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance
AI Explainability Tool
A toolkit for explaining complex AI models and data-driven insights
XAI workshop materials
A collection of resources and materials from the 2019 KDD XAI Workshop on explainable machine learning techniques and best practices for responsible use.
Bias auditor
A toolkit for auditing and mitigating bias in machine learning systems
AI risk management
Resources to help organizations manage risks associated with Generative AI systems
Model interpreter
Provides tools and techniques for interpreting machine learning models
Paragraph QA tools
Tools and codebase for training neural question answering models on multiple paragraphs of text data
Event-driven system guidelines
Guidelines and best practices for developing and maintaining event-driven systems in the Algorave framework
Rule generator
Automated rule generation tool for malware analysis using biclustering algorithm
Regulation Map
A global map of AI regulations and policies, categorized by type and status.
AI toolkit
Provides tools and utilities for implementing various artificial intelligence algorithms
Environmental AI standards
Develops guidelines and best practices to reduce environmental impact of AI research and development
Featured in 1 awesome list
Each link jumps to the spot where the list mentions responsible_xai.