A company is building an AI governance program. From a responsible AI perspective, what is the term for establishing a structure that makes clear who is responsible for an AI system's decisions and why a given outcome was reached?
A question that asks which perspective represents a structure of responsibility and explanation.
Traceability
Traceability is the property of being able to track the history of data and decisions.
Traceability provides material for explanation, but the term for the structure that defines who is responsible is accountability, so this is incorrect.
Explainability
Explainability is the property of being able to technically understand why an individual prediction produced its result.
This is about the technology of understanding the rationale, not the organizational structure of who is responsible, which is accountability, so this is incorrect.
Accountability
Correct. Accountability means establishing a structure that makes clear who is responsible and why a given outcome was reached. It is a foundation for trustworthy AI.
Governance
Governance is the broad framework that controls the development and use of AI through organizational rules and processes.
It is a related concept, but the term for who is responsible and accountable is accountability, so this is incorrect.
Remember the correct answer, accountability.
・A structure that makes clear who is responsible for an AI system's decisions and why a given outcome was reached.
・When a problem occurs, it can be addressed and corrected, making it a foundation for trustworthy AI.