Accountability

A framework for developing and deploying AI systems ethically, safely, transparently, and in alignment with human values.

The degree to which an AI system's inner workings, decision logic, training data, and operations are visible and understandable.

The ability of an AI system to provide understandable reasons or evidence for how it produced a prediction, recommendation, or decision, enabling humans to interpret and trust its behavior.

A chronological record of actions, events, and system changes that enables traceability, accountability, compliance, and forensic analysis.

The framework of policies, processes, and oversight that ensures AI systems are developed, deployed, and operated responsibly, safely, and in compliance with regulations.