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1. The Meaning of Explainability for AI

   An article discussing the importance of explainability in machine learning and the challenges posed by neural networks. It highlights the difficulties in understanding the decision-making process of complex models and the need for more transparency in AI development.

   2024-06-04 Tags: explainability, machine learning, neural networks, xai, interpretability by klotz
2. Introduction to SHAP Values and their Application in Machine Learning | by Reza Bagheri | Mar, 2022 | Towards Data Science

   2022-04-18 Tags: shap, machine learning, deep learning, explainability by klotz
3. Activation Atlases is a Machine Learning Interpretability Model Used by Google and OpenAI | by Jesus Rodriguez | Sep, 2021 | Towards AI

   2021-09-20 Tags: machine learning, deep learning, image recognition, activation, activation atlas, visualization, explainability by klotz
4. Explainable Graph Neural Networks | by Remy Lau | Jun, 2021 | Towards Data Science

   2021-06-13 Tags: explainability, graph, neural network, deep learning by klotz
5. Introducing tf-explain, Interpretability for TensorFlow 2.0

   2019-08-02 Tags: tensorflow, explainability by klotz

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