Explainable AI Services and Solutions Company | XAI Development Services in USA India
Explainable Introduction to Explainable AI Explainable AI (XAI) refers to the capability of an artificial intelligence system to provide understandable and transparent explanations for its decisions or predictions. In traditional AI models, such as deep neural networks, decision-making processes can be complex and difficult to interpret. This lack of transparency poses challenges, especially when AI is used in critical domains where trust, accountability, and human interpret-ability are essential. The goal of explainable AI is to bridge this gap by enabling humans to understand how AI systems arrive at their outputs. By providing explanations, XAI helps users, stakeholders, and regulatory bodies gain insights into the decision-making process of AI models, thereby building trust, identifying biases, and ensuring fairness. Explainable AI techniques aim to make AI models more transparent and interpretable without sacrificing their performance. These techniques can be broadly c...