Python 44 Jupyter Notebook 18 R 14 HTML 3 C++ 2 TypeScript 1 Rust 1

Tools 178 Academic Research 96 Regulations 28 Reports 15 Institutes 13 Books 11 Principles 10 Standards 9 Data Sets 6 Courses 6 Code of Ethics 4 Podcasts 4 Frameworks 3 Main Concepts 2 Newsletters 2

Sustainability 62 Performance (& Automated ML) 54 Interpretability/Explicability 46 Safety 29 Commercial / Propietary / Closed Access 24 Fairness 16 Explainability 14 Privacy 10 Drift 10 Causal Inference 9 LLM Evaluation 8 European Union 8 United States 7 Canada 7 (AI) Incidents databases 7 (AI) Watermaring 6 Interpretable Models 5 UNE/ISO Standards 5 Ethical Data Products 5 Robustness 5 (RAI) Toolkit 4 Data Privacy 4 Other 4 Benchmarks 4 Bias 4 Collections 3 Security 3 (AI/Data) Poisoning 3 NIST Standards 3 Open Access 2 Evaluation (of model explanations) 2 Data/AI Ethics 1 Singapore 1 Market Analysis 1 Ethical Design 1 Reliability Evaluation (of post hoc explanation methods) 1 Why is Responsible, Trustworthy, and Human-Centered AI important? 1 AI Governance 1 Adversarial ML 1 IEEE Standards 1 Causality 1 Challenges 1 Poisoning 1 What is Open Source AI? 1 Reproducible/Non-Reproducible Research 1

machine-learning 34 python 14 explainable-ai 12 xai 11 data-science 11 interpretability 10 deep-learning 8 scikit-learn 8 explainable-ml 8 ai 7 interpretable-machine-learning 6 ml 6 pytorch 6 artificial-intelligence 6 mlops 5 llm 5 r 5 differential-privacy 5 explainability 5 fairness-ai 4 automated-machine-learning 4 automl 4 transparency 4 interpretable-ml 4 data-drift 4 privacy 4 bias 3 trustworthy-ai 3 fairness 3 visualization 3 tensorflow 3 feature-importance 3 llmops 3 statistics 3 interpretable-ai 3 explainable-artificial-intelligence 3 random-forest 3 xgboost 3 hyperparameter-optimization 3 variable-importance 3 model-monitoring 3 shap 3 r-package 3 jupyter-notebook 3 bayesian-optimization 2 neural-architecture-search 2 keras 2 adversarial-attacks 2 openai 2 adversarial-examples 2