#XAI Explainable AI (XAI) is artificial intelligence (AI) that's programmed to describe its purpose, rationale and decision-making process in a way that can be understood by the average person. XAI helps human users understand the reasoning behind AI and machine learning (ML) algorithms to increase their trust.
Explainable artificial intelligence is often discussed in relation to deep learning and plays an important role in the FAT -- fairness, accountability and transparency -- ML model. XAI is useful for organizations that want to build trust when implementing an AI. XAI can help them understand an AI model's behavior, helping to find potential issues such as AI biases.
