What is XAI?

Explained

Explainable AI (XAI) provides interpretable explanations for model outputs. It builds trust, supports debugging, and meets regulatory requirements for transparency in high-stakes decisions.

Further reading

• Explainable AI (XAI): Building Trust and Transparency in AI-Driven Enterprise

Related terms

• Bias Distortion in data or model that produces unfair or inaccurate results.
• Constitutional AI Training approach that aligns models with explicit rules and self-critique.
• Ethical AI AI designed and deployed with ethical principles (transparency, fairness, privacy).
• EU AI Act European regulation that classifies AI systems by risk and mandates compliance.
• Explainability Ability to explain how a model reaches a conclusion (Explainable AI, XAI).
• Guardrails Runtime constraints and policies that keep LLM outputs safe and on-brand.