L3S/causality-for-trustworthy-ai
:books: Curated list for Causality and AI
This project helps AI researchers and practitioners find relevant resources for building more trustworthy AI systems. It provides curated lists of datasets and software packages, both causal and non-causal, that can be used to evaluate and improve aspects like interpretability, fairness, and robustness in machine learning models. The output is a categorized overview of tools and data, enabling easier experimentation and comparison of different approaches.
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Use this if you are an AI researcher or machine learning engineer focused on developing or evaluating AI systems for trustworthiness and need a quick overview of relevant causal machine learning datasets and tools.
Not ideal if you are looking for a complete, exhaustive catalog of all available causal AI resources, as this list is specifically curated based on a survey.
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Sep 12, 2023
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