Explainable AI

Explainable AI (XAI) refers to methods and techniques used to make the decisions of machine learning models understandable to humans. It aims to shed light on how a model arrives at a particular prediction, identifying the factors that influenced the outcome. This allows users to understand, trust, and effectively manage AI systems.

Visit the following resources to learn more:

• @article@What is Explainable AI (XAI)?
• @article@Explainable AI (XAI) | Giskard
• @article@How to Leverage Explainable AI for Better Business Decisions
• @video@Explainable AI: Demystifying AI Agents Decision-Making