What Is Privacy-Enhancing Technologies (PETs)?
Privacy-Enhancing Technologies (PETs) is techniques that let data be used or analysed while minimising exposure of the underlying personal information.
Privacy-Enhancing Technologies (PETs), techniques that let data be used or analysed while minimising exposure of the underlying personal information.
PETs include methods such as differential privacy, homomorphic encryption, federated learning, and secure multi-party computation. They matter for AI because they offer ways to train on or analyse sensitive data without centralising raw personal information, helping reconcile data utility with data-protection obligations.
Source: OECD; ICO PETs guidance
Plain-language explanation
PETs include methods such as differential privacy, homomorphic encryption, federated learning, and secure multi-party computation. They matter for AI because they offer ways to train on or analyse sensitive data without centralising raw personal information, helping reconcile data utility with data-protection obligations.
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