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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