yongkaiwu/FairAI
This is a collection of papers and other resources related to fairness.
This is a curated collection of research papers, tutorials, courses, and datasets focused on fairness in Artificial Intelligence. It helps AI researchers and practitioners quickly find relevant academic work and learning materials. You input a desire to learn more about AI fairness, and you receive categorized lists of papers from major conferences and journals, workshops, tutorials, and datasets.
Use this if you are an AI researcher, student, or practitioner needing to explore the latest academic literature and resources on fairness in AI.
Not ideal if you are looking for ready-to-use software libraries, code implementations, or practical guides for integrating fairness into existing AI systems.
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Last pushed
Nov 09, 2025
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