Explainable AI Principles: What Should You Know About XAI

Explainable artificial intelligence (XAI) refers to a set of techniques, design principles, and processes that help developers/organizations add a layer of transparency to AI algorithms so that they can justify their predictions. XAI can describe AI models, their expected impact, and potential biases. With this technology, human experts can understand the resulting predictions and build trust and confidence in the results.