< Back to Glossary

Explainable AI / Explainability

What is Explainable AI / Explainability?

Explainable AI / Explainability is the field of research focused on making machine learning models more interpretable and understandable. Explainable AI (sometimes written as XAI) techniques help stakeholders understand how models arrive at their decisions, fostering trust and enabling responsible AI development.

Latest Insights

 
03.26.2026 Blog

The Architecture Behind AI Orchestration and Vertical AI Systems

AI Square Icon Svg
Context layer AI architecture
 
02.26.2026 Blog

Maximizing Category Manager Impact through Vertical AI

AI Square Icon Svg
Context layer AI architecture
 
01.31.2026 Blog

The $2M Leak: Why “Smarter Models” Won’t Save Your Plant Floor

AI Square Icon Svg