Explainable Artificial Intelligence Fundamentals

Algorithms in Artificial Intelligence (AI) can be categorized into two types: white-box and black-box algorithms. White-box models generate results that are easily comprehended by domain experts. Conversely, black-box models are challenging to explain and comprehend, even by domain experts. EXAI algorithms embody the principles of transparency, interpretability, and explainability. The role of AI in our lives and businesses will become increasingly important, making it essential that AI systems have outcomes and decisions that are explainable and understandable.