Service content: AI Governance Vision, Design, and Planning - Assist enterprises to design and plan AI governance, including developing a vision for adopting AI, designing governance structures, developing AI ethical principles, defining AI business frameworks and policies, and identifying use cases and implementation roadmaps. Enterprise AI Governance Maturity Benchmark Assessment and Roadmap Development - Assess an enterprise's AI governance approach, strategy, business, and operational capabilities throughout the AI lifecycle, including strategy, planning, ecosystem, development, deployment, operation, and monitoring. Identify and prioritize differences in 19 sub-areas of the AI lifecycle to develop a roadmap and improve maturity. AI application impact assessment - Assess the specific impact of AI applications based on established AI ethics principles. Evaluate whether the process of developing and maintaining AI applications fully takes into account and addresses all AI ethics considerations. Explainability, bias, and robustness analysis of AI models - In-depth analysis of the interpretability, bias, and robustness of specified AI applications. Privacy, regulatory, and policy compliance support - In-depth analysis of the practices of selected artificial intelligence applications with respect to privacy and regulatory requirements during development and maintenance.