What is Private AI/ML?

Why Private AI?
Private AI focuses on preserving user privacy in artificial intelligence applications. By utilizing techniques like federated learning and homomorphic encryption, it allows machine learning models to operate on encrypted, decentralized data. This ensures that sensitive information remains secure and confidential during the learning process.
One typical approach is Microsoft SEAL (Simple Encrypted Arithmetic Library). It plays a key role by providing a toolkit for performing privacy-preserving computations, particularly in the realm of homomorphic encryption. As the demand for secure AI solutions grows, Private AI, with tools like Microsoft SEAL, addresses concerns surrounding data privacy and contributes to the ethical deployment of artificial intelligence.
In a nutshell:
– Private AI prioritizes user privacy in AI applications.
– Techniques such as federated learning and homomorphic encryption are employed.
– Microsoft SEAL serves as a crucial toolkit for privacy-preserving computations.
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