4 Updating your data governance framework to support AI adoption In the evolving AI landscape, it’s important to identify specific areas of your existing data governance framework that might require extra attention. Rather than overhauling the entire framework, you can focus on areas that are most likely to evolve, directing your efforts where they will most enhance the value of AI while ensuring your data stays protected and secure. Here are some key insights to consider: Adapting policies Roles and responsibilities and procedures It’s essential to incorporate AI readiness across the roles involved with data AI involves new kinds of data collection, governance. Employees familiar with processing, and usage. Updating data AI data requirements can act as stewards policies can help address relevant needs to support data quality and compliance. around data privacy, regulatory compliance, Cross-functional collaboration among and ethical use. For instance, requiring legal, IT, and data science teams can data anonymization in specific instances help tackle AI-specific challenges can protect personal information, making more effectively. it safer to use throughout the AI lifecycle. 13