Interested in interpretable and explainable machine learning? Check out our new blog post with opinions on the field and 70 summaries of recent papers, by @__Owen___ and me!
Link: alignmentforum.org/posts/GEPX7jgL…
Link: alignmentforum.org/posts/GEPX7jgL…
Topics include Theory, Evaluation, Feature Importance, Interpreting Representations, Generating Counterfactuals, Finding Influential Data, Natural Language Explanations, Adversarial/Robust Explanations, Unit Testing, Explaining RL Agents, and others (note: not a formal taxonomy)
We're excited to highlight the wide array of research in interpretability/transparency/explainability. We hope this work can help others identify common threads across research areas and get up to speed on the latest work in different subareas.
Please feel free to leave any comments here :) and thanks to @_robertkirk and @mohitban47 for helpful feedback on the post!
#XAI #NLProc @trustworthy_ml
#XAI #NLProc @trustworthy_ml
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