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This GitHub repository offers resources to create fair and unbiased AI systems, including libraries, tools and tutorials on identifying and mitigating bias in machine learning models and implementing fairness in AI.

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Ali-Alameer/AI_fairness

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AI Fairness

This GitHub repository is dedicated to providing libraries and tutorials on the topic of AI fairness. This repository aims to empower developers and researchers to create AI systems that are fair and unbiased for all individuals. Inside, you will find a collection of libraries and tools that can be used to identify and mitigate sources of bias in machine learning models. Additionally, you will find a range of tutorials and examples that demonstrate best practices for implementing fairness in AI, from data preprocessing to model evaluation. This repository is designed to provide the resources to create fair and equitable AI systems.

Image showing diagram mapping AI fairness

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This GitHub repository offers resources to create fair and unbiased AI systems, including libraries, tools and tutorials on identifying and mitigating bias in machine learning models and implementing fairness in AI.

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