Which principle focuses on accountability for AI outcomes?

• A. Accountability.
• B. Fairness.
• C. Transparency.
• D. Privacy.

Answer: (A)

Accountability is about who is responsible for the outcomes of an AI system and how those outcomes can be traced, evaluated, and remediated. It establishes the governance, roles, and processes needed to answer for what the AI does, including auditing decisions and addressing harms or errors. This focus on responsibility and answerability makes it the best fit for a question about accountability for AI results.

Fairness centers on ensuring equitable treatment and mitigating bias, but it doesn’t by itself define who is answerable for the outcomes. Transparency is about making how the AI works and makes decisions visible, which supports accountability but is not the same as being responsible for the results. Privacy deals with protecting personal data and consent, not who is accountable for AI-driven outcomes.