The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Privacy vs Fairness in Computer Vision with Alice Xiang - #637

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Exploring Fairness and Bias Mitigation in Machine Learning

This chapter delves into the challenges of assessing fairness and reducing bias in machine learning, especially regarding legal issues tied to demographic factors. It introduces a new methodology that evaluates data similarity and diversity without specific labels, emphasizing the importance of innovative approaches in achieving fairness in computer vision.

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