AI Explainability: Demystifying Black Boxes With Trust
The rise of artificial intelligence (AI) is transforming industries at an unprecedented pace. From powering personalized recommendations to automating complex tasks, AI's influence is undeniable. However, as AI systems become more sophisticated, understanding how they arrive at their decisions is becoming increasingly crucial. This understanding, known as AI explainability, is not just a technical requirement but a fundamental principle for building trust, ensuring fairness, and unlocking the full potential of AI.
What is AI Explainability?
Defining Explainable AI (XAI)
Explainable AI (XAI) refers to the ability to understand and explain the decisions and predictions made by AI models. It goes beyond simply knowing the outcome to comprehending the reasoning process behind it. This understa...