Here’s Everything You Need To Know About Explainable Ai

Explainable AI (XAI) is a field of AI that focuses on making AI models more transparent and understandable to humans. It sheds light on the inner workings of complex AI systems, particularly those based on machine learning, to foster trust and understanding in their decision-making processes. The ‘Black Box’ hypothesis of AI refers to the inherent lack of transparency in certain AI models, which can be problematic. The key principles of XAI, outlined by the National Institute of Standards and Technology (NIST), aim to address this issue and have significant importance in AI development and implementation.