633: Responsible Decentralized Intelligence
Super Data Science: ML & AI Podcast with Jon Krohn
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Ensuring Privacy in AI Model Fairness Assessment
Exploring a method developed with Oasis Labs, this chapter explains how Instagram users can participate in a survey to contribute sensitive information like gender and race without compromising privacy. Privacy technologies like secure multi-party computation, homomorphic encryption, and differential privacy are utilized to safeguard user data in AI model fairness assessment.
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