AWS Certified Cloud Practitioner

Explanation:

AI governance frameworks are specifically designed to establish trust and ensure responsible deployment of AI technologies. The key characteristics of such frameworks include:

1. Developing policies and guidelines - This is the core function of AI governance frameworks
2. Focus on data management - Ensuring proper data handling, privacy, and security
3. Transparency requirements - Making AI systems explainable and understandable
4. Responsible AI principles - Addressing fairness, accountability, and ethical considerations
5. Compliance with regulations - Adhering to legal and regulatory requirements

While options A, B, and C describe business benefits and goals that might result from effective AI governance, they are not the defining characteristics of the governance frameworks themselves. Option D directly addresses the structural components that make up an AI governance framework, which is essential for building trust and ensuring human-centered AI deployment.