Description: Human-readable explanations refer to the ability of artificial intelligence (AI) systems to provide clear and understandable justifications for their decisions and actions. This concept is fundamental in the field of explainable AI, where the goal is for AI models to be not only accurate but also transparent. The idea is that, when interacting with automated systems, users, who may not have a technical background, can understand how and why a particular conclusion was reached. This is especially relevant in critical applications, such as healthcare, legal systems, and financial services, where AI decisions can significantly impact people’s lives. Human-readable explanations should be accessible, avoiding technical jargon and using clear language. Additionally, they should be coherent and relevant, allowing users to assess the trustworthiness and validity of the decisions made by AI. In a world where AI is increasingly present, the ability to provide understandable explanations becomes an essential pillar for fostering trust and acceptance of these technologies by society.
