What Is AI Data Governance?

AI data governance is the framework that ensures data used in artificial intelligence systems is managed responsibly, ethically, and effectively. It brings together clear policies, processes, and accountability measures to ensure that AI tools operate safely and in line with organisational and societal values. This includes setting standards for how data is collected, stored, shared, and used in training and deploying AI models, helping to prevent issues like bias, privacy violations, or misuse of sensitive information.

AI data governance is about trust and transparency. It ensures that the data powering AI systems is accurate, secure, and used fairly, while also maintaining oversight over how algorithms learn and make decisions. 

In practice, organisations apply AI data governance by setting up internal policies and controls for how data is sourced, labelled, and maintained. They may establish oversight committees to monitor AI performance and compliance and use auditing mechanisms to track how AI decisions are made.