Which concept refers to the ability to understand why a system made a particular decision?

Which concept refers to the ability to understand why a system made a particular decision?

• A. Data Minimization
• B. Right to be Forgotten
• C. Explainability
• D. Contextual Integrity

Answer: (C)

Explainability is the ability to understand why a system made a particular decision. In risk management and AI practice, knowing the reasons behind a decision helps you assess fairness, accuracy, and accountability, and it supports auditing and challenge when needed. Explainability comes from techniques that reveal what influenced the outcome for a given instance or across the model, such as identifying the most impactful features or providing simple, interpretable summaries or local explanations. This clarity fosters trust and is a key part of governance and regulatory considerations, since stakeholders and regulators often require visibility into how decisions are reached. Data Minimization focuses on limiting the data collected and stored, reducing privacy risk but not explaining decisions. The Right to be Forgotten deals with erasing personal data upon request, not with the reasons behind model outputs. Contextual Integrity concerns whether information flows respect contextual norms and expectations, rather than the internal reasoning of a decision.

Explainability is the ability to understand why a system made a particular decision. In risk management and AI practice, knowing the reasons behind a decision helps you assess fairness, accuracy, and accountability, and it supports auditing and challenge when needed. Explainability comes from techniques that reveal what influenced the outcome for a given instance or across the model, such as identifying the most impactful features or providing simple, interpretable summaries or local explanations. This clarity fosters trust and is a key part of governance and regulatory considerations, since stakeholders and regulators often require visibility into how decisions are reached.

Data Minimization focuses on limiting the data collected and stored, reducing privacy risk but not explaining decisions. The Right to be Forgotten deals with erasing personal data upon request, not with the reasons behind model outputs. Contextual Integrity concerns whether information flows respect contextual norms and expectations, rather than the internal reasoning of a decision.