Explainability refers to the transparency and comprehension of automated decision-making procedures. Used prominently in Artificial Intelligence (AI), explainability fosters trust among users by deconstructing complex machine learning processes. Key beneficiaries include developers, users, and organizations aiming to demystify AI algorithms, thus promoting transparency, accountability, and user-confidence in technology.
