Tag : privacy-preserving AI

AI Federated Learning: Federated learning trains a shared machine learning model on multiple decentralized devices (such as smartphones), keeps the training data on the devices, and only shares model updates, thus preserving privacy.

The AI ​​governance framework ensures responsible AI development by establishing policies for fairness, transparency, privacy, accountability, and safety. This includes ethical guidelines, risk management, human oversight, and regulatory compliance to prevent bias, misuse, and harm while maximizing the benefits of AI.