What are some effective tools for ensuring data privacy in AI?
There are several tools designed to enhance data privacy in AI, such as differential privacy frameworks, federated learning platforms, and data anonymization tools.
Can you explain how differential privacy works?
Differential privacy adds noise to the data to prevent the identification of individuals while still allowing for useful insights.
What is federated learning?
Federated learning is a decentralized approach where AI models are trained across multiple devices without sharing raw data.
Are there any specific tools you recommend for data anonymization?
Yes, tools like ARX, Amnesia, and Data Masker are popular for data anonymization, each offering unique features.
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