The so-called "opacity" of artificial intelligence (AI), the black box model, raises concerns about the increasing use in relevant and critical areas of our society such as health, assistance, autonomous driving, military technologies, the economy, finance, justice, insurance. The need to create models that make it possible to understand, trust and therefore govern the emerging generation of these systems is increasingly felt, while maintaining a high level of performance. This is why a new discipline is being developed, eXplainable AI (XAI), which can be defined as a set of tools and techniques used to make the operation of AI increasingly transparent and easy to understand.
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