Explore the essential AI governance framework, covering key principles, ethical considerations, regulatory compliance, and responsible AI development to ensure trustworthy and transparent AI systems aligned with human values.

databricks

Databricks introduces a comprehensive AI Governance Framework with 43 key considerations across five pillars: AI Organization, Legal and Regulatory Compliance, Ethics and Responsible AI, Data/AIOps/Infrastructure, and AI Security. The framework addresses enterprise challenges like unclear ownership, inadequate risk controls, and compliance gaps that cause AI project failures. It emphasizes embedding governance across teams, continuous monitoring, and integrating with tools like Unity Catalog for lineage and access control. The framework includes a maturity model for phased implementation and metrics to measure governance effectiveness.

A Practical AI Governance Framework for Enterprises