Exploring gender biases in ML and AI academic research through systematic literature review
In this project, I conducted a systematic literature review of 120 peer-review papers to understand the extent of geneder biases in Machine Learning (ML) and Artificial Intelligence (AI) models/systems. I explore the ways to identify, mitigate and prevent such biases from these systems.
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