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Explainability

Ethics & compliance

Explainability is the ability to understand and justify an AI system's decisions: why this answer, from which sources, with what confidence. Essential for user trust and required by regulators for risky uses, it shapes architecture choices.

In practice at Gensai

Gensai's RAG systems cite their sources: every answer can be traced back to the documents it rests on.