What Is Explainable AI And Why Is It Important?
Analytics Insight, Wednesday, August 21st, 2024
Explore the essentials of Explainable AI and its significance in today's tech landscape
This is where Explainable AI (XAI) comes into play. Explainable AI aims to make the workings of AI systems more understandable to humans, ensuring that these systems can be trusted and used responsibly.
What is Explainable AI?
Explainable AI refers to the set of processes and methods that allow human users to comprehend and trust the decisions or predictions made by AI models. Unlike traditional AI, which often functions as a "black box" where inputs lead to outputs without clarity on how those outputs were derived, XAI provides insights into how decisions are made. This involves generating explanations that are accessible, accurate, and actionable for various stakeholders, including data scientists, business leaders, regulators, and end-users.