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Patrick Hall
developerHelping people with AI, machine learning, and risk at hallresearch.ai; chief AI officer at GW School of Business.
Public projects
awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
ai-safetyawesomeawesome-list
interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Jupyter Notebookaccountabilitydata-miningdata-science
secure_ML_ideas
Practical ideas on securing machine learning models
TeX
xai_misconceptions
Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
Jupyter Notebook
hc_ml
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
TeXaccountabilitydata-miningdata-science
responsible_xai
Guidelines for the responsible use of explainable AI and machine learning.
Jupyter Notebook
Likely stack
OpenAI
