AI explainability understanding how a model arrives at its outputs, is essential for trust, regulatory compliance and model improvement in finance. nCino notes that as AI becomes more complex, stakeholders demand transparency similar to traditional banking models; explainable AI fosters trust, supports compliance and enables human experts to validate and refine models.
This ties into What MLOps practices do financial institutions need for AI?
