Explainability
Explainability, on the other hand, is more focused on the ability of the AI system to provide understandable reasons for its decisions, predictions, or actions to a human user. It involves presenting the decision-making process of an AI system in a way that is interpretable and meaningful to humans. Explainability is about making the outcomes of AI systems, and sometimes the processes leading to those outcomes, understandable to non-expert users. Key aspects include:
Interpretability of the AI's decisions by users.
The provision of explanations that are comprehensible and relevant to the specific audience.
The ability to trace and understand the specific factors that influenced a particular AI decision.