Technical
Algorithmic Explainability
Ability to understand how an AI system reaches decisions.
Definition
A concept introduced to denote the capacity to understand and interpret how an AI system formulates specific decisions or predictions, encompassing obligations for transparency, documentation, and provision of explanations—particularly for automated decision-making in public-sector applications.
Related Terms
Explicability of AI
Requirement that AI decisions can be interpreted and explained....
Explicability
Making AI outputs interpretable to stakeholders....
Trustworthy/Explainable AI
AI designed to protect privacy, transparency and rights....
Transparency and Explainability (OECD)
Commitment to openness about AI capabilities and limitations....
Interpretability
Degree to which humans can understand AI decisions....