Rights & Ethics
Explicability of AI
Requirement that AI decisions can be interpreted and explained.
Definition
A mandated principle requiring that the functioning and outputs of an AI system can be interpreted and understood — by means of full explanations or alternative methods — so that decisions are traceable, auditable, and do not violate fundamental rights, enabling transparency and oversight throughout the system lifecycle.
Related Terms
Explicability
Making AI outputs interpretable to stakeholders....
Algorithmic Explainability
Ability to understand how an AI system reaches decisions....
Transparency and Explainability (OECD)
Commitment to openness about AI capabilities and limitations....
Trustworthy/Explainable AI
AI designed to protect privacy, transparency and rights....
Transparencia y explicabilidad
AI systems must be understandable, with functions, data, and decisions clearly communicated....