Decoding AI: Opening Black Boxes For Trust.
Imagine a world where algorithms make critical decisions about your life – loan applications, medical diagnoses, even criminal justice – yet the reasoning behind those decisions remains shrouded in mystery. This is the reality we face with increasingly complex Artificial Intelligence (AI) models. AI explainability, the ability to understand how an AI system arrives at a particular outcome, is no longer just a technical nicety, but a crucial requirement for building trust, ensuring fairness, and unlocking the full potential of AI.
What is AI Explainability?
Defining Explainable AI (XAI)
Explainable AI (XAI), often used interchangeably with AI Explainability, refers to a set of techniques and approaches that make AI systems more transparent and understandable to humans. It goes beyond simply...