Building Safe Artificial Intelligence

OpenMined is an open-source community focused on researching, developing, and promoting tools for secure, privacy-preserving, value-aligned artificial intelligence site

"A generic framework for privacy preserving deep learning. We detail a new framework for privacy preserving deep learning and discuss its assets. The framework puts a premium on ownership and secure processing of data and introduces a valuable representation based on chains of commands and tensors. This abstraction allows one to implement complex privacy preserving constructs such as Federated Learning, Secure Multiparty Computation, and Differential Privacy while still exposing a familiar deep learning API to the end-user. Read the white paper

OpenMined is in Python and implements Federated Learning which preserves privacy and confidentiality by mining data for models on clients but avoids transferring data to the server, only the model or model characteristics are propagated. We shared more via Google's efforts Federated Learning