Description: Semantic interpretation is the process of deriving meaning from the outputs of an artificial intelligence model in a way that is understandable to humans. This approach seeks to unravel the logic behind the decisions made by models, allowing users to understand not only the final outcome but also the reasoning that led to that outcome. Semantic interpretation focuses on clarity and transparency, facilitating communication between humans and machines. As artificial intelligence systems become more complex, the need for semantic interpretation becomes crucial to ensure that users can trust automated decisions. This process not only helps developers improve their models but also enables end-users to make informed decisions based on an understanding of how and why certain results were generated. In a world where AI is increasingly integrated into various applications, from healthcare to finance, semantic interpretation becomes an essential component to ensure that these technologies are used ethically and responsibly.
