Technical
Explicability
Making AI outputs interpretable to stakeholders.
Definition
The capacity and set of techniques and documentation that enable technical and non‑technical stakeholders to understand how and why an AI system produced particular outputs, including model documentation, decision summaries and explanation methods appropriate to the audience.
Related Terms
Explicability of AI
Requirement that AI decisions can be interpreted and explained....
Algorithmic Explainability
Ability to understand how an AI system reaches decisions....
Interpretability
Degree to which humans can understand AI decisions....
Explainability/interpretability
Extent to which a model's operation and outputs can be meaningfully described....
model transparency
Clarity about a model's operation, inputs, outputs and limitations....