Gen AI tools can produce inaccurate outputs if the training data contains biases or inconsistencies, which can lead to flawed or misleading results.
Reference: Generative AI limitations documentation.

GitHub Copilot Enterprise allows for prompt and suggestion collection, enabling organizations to analyze and improve their usage of the tool.

"Minimizing bias requires diverse datasets, use of fairness metrics, and human oversight throughout development and deployment." This clearly confirms that the proper approach is a combination of diverse data, fairness metrics, and oversight.
References: Microsoft Responsible AI and GitHub Copilot fairness guidelines.

"While Copilot can suggest refactoring changes, the code may not always follow best practices or be fully optimized. Developers must review and validate suggestions." This confirms that limitations exist in optimization and best practices, making option A correct.
References: GitHub Copilot limitations documentation.