Privacy and Fairness
Parinaz discusses the intriguing intersection of differential privacy and fairness, highlighting the potential for using differential privacy techniques to enhance fairness in models. She references a notable paper presented at NeurIPS that questions whether classifiers exhibit discriminatory behavior, signaling a growing interest in this research area. The conversation emphasizes the need for further exploration of these concepts within the AI community.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Trust and AI with Parinaz Sobhani - TWiML Talk #208
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