Overview
The AI Governance Maturity Model is a vital framework that assists organizations in evaluating and enhancing their governance practices related to artificial intelligence. By understanding the different maturity levels, organizations can identify their current standing and develop strategies for imp...
Key Terms
Example: AI governance includes policies for data privacy and ethical AI use.
Example: The AI Governance Maturity Model helps organizations assess their governance practices.
Example: Risk management in AI involves evaluating potential biases in algorithms.
Example: Organizations must ensure compliance with data protection laws when using AI.
Example: Stakeholders in AI governance include developers, users, and regulators.
Example: Ethical AI practices include transparency and fairness in algorithm design.