Explainability – a Key Component of AI Governance

What is Explainability? Explainability in AI governance refers to the capacity to understand and articulate how AI systems reach their decisions. It involves making the complex internal workings of AI algorithms transparent and interpretable to both technical and non-technical stakeholders. This includes providing clear, accessible explanations of the data inputs, the processes within the algorithms,…