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What steps can be taken to secure user data in AI systems?
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Answer / Rukmani Gunjiyal
To secure user data in AI systems, it is essential to implement a robust security framework that includes various measures such as encryption, access controls, and regular audits. This may also involve deploying secure multi-party computation techniques for privacy-preserving machine learning, using differential privacy to add noise to the data while preserving its utility, and implementing zero-knowledge proofs to verify the integrity of data without revealing its contents.
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