Which concept refers to the openness regarding a system's design, data, and algorithms?

• A. Equal Opportunity
• B. Interpretability
• C. Explainability
• D. Transparency

Answer: (D)

Transparency is about openness in how a system is built and operates—the design, the data it uses, preprocessing steps, and the algorithms that drive decisions. This openness lets stakeholders inspect how decisions are produced, assess potential biases, and confirm governance and regulatory compliance. Interpretability concerns whether a human can understand the model’s behavior, which is related but narrower and doesn’t automatically reveal data sources or training methods. Explainability focuses on providing understandable reasons for a specific decision, which aids trust but isn’t the same as full openness about data and design. Equal Opportunity deals with fairness and bias considerations rather than openness of the system’s internals. Because the question asks for openness regarding design, data, and algorithms, transparency is the best fit.