According to Microsoft's Responsible AI Principles, Transparency means that AI systems should clearly communicate how they operate, including data sources, limitations, and decision-making processes. Stating the source of data used to train a model helps users understand where the model's knowledge comes from, enabling informed trust and accountability.
Transparency ensures that organizations disclose relevant details about data collection and model design, especially for compliance, fairness, and reproducibility.
Other options are incorrect:
* A. Fairness: Focuses on avoiding bias and ensuring equitable outcomes.
* C. Reliability and safety: Ensures AI performs consistently and safely.
* D. Privacy and security: Protects user data and maintains confidentiality.
Thus, the principle illustrated by disclosing training data sources is Transparency.