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AI Needs Privacy And a Smarter Way to Work with Sensitive Data
AI Needs Privacy And a Smarter Way to Work with Sensitive Data
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Industries like healthcare, real estate, and banking rely heavily on sensitive data, making privacy paramount. Leaks of rental contracts or health records can trigger security breaches, lawsuits, and eroded trust. Federated learning emerges as a solution—AI models train on decentralized data without direct access, preserving confidentiality.
Major players like Nvidia, MIT, and Mozilla back open-source ecosystems such as Flower, aiming to scale privacy-preserving AI. The convergence of AI and blockchain could further secure data workflows, though challenges in verifiability and efficiency remain.
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