Which term describes the need to explain the rationale behind AI decisions to stakeholders?

Which term describes the need to explain the rationale behind AI decisions to stakeholders?

• A. Transparency in AI
• B. Fairness in AI
• C. Bias in AI
• D. Privacy in AI

Answer: (A)

The need to explain the rationale behind AI decisions to stakeholders is about transparency. Transparency means making how the AI works understandable and open to scrutiny—showing what data and features were used, how inputs influence outputs, what rules or patterns the model relied on, and what uncertainties or limitations exist. This helps stakeholders trust the system, assess risks, and hold it accountable. Fairness focuses on equitable treatment across groups, ensuring no biased outcomes; bias refers to systematic prejudices in data or model behavior; privacy concerns protect individuals’ data. These are important, but they don’t specifically address the obligation to illuminate why a given decision was made. Transparency directly covers explaining the reasoning behind decisions to those affected or overseers.

The need to explain the rationale behind AI decisions to stakeholders is about transparency. Transparency means making how the AI works understandable and open to scrutiny—showing what data and features were used, how inputs influence outputs, what rules or patterns the model relied on, and what uncertainties or limitations exist. This helps stakeholders trust the system, assess risks, and hold it accountable.

Fairness focuses on equitable treatment across groups, ensuring no biased outcomes; bias refers to systematic prejudices in data or model behavior; privacy concerns protect individuals’ data. These are important, but they don’t specifically address the obligation to illuminate why a given decision was made. Transparency directly covers explaining the reasoning behind decisions to those affected or overseers.