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Let's talk about some common challenges and best practices you'll encounter when implementing AI governance. One major challenge is **complexity**. AI systems can be complex, making it difficult to understand and manage their behavior. Complexity demands robust monitoring and continuous improvement. There is also the issue of **data quality**. Poor-quality data can lead to biased or inaccurate AI outcomes. Good data is the lifeblood of ethical AI, which means ensuring data accuracy, completeness, and representativeness. Another challenge is the **lack of skilled professionals**. There is a shortage of experts with the knowledge and experience to implement and manage AI governance programs. Building a skilled team is a key to success.
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