Description: The ‘Data Framework’ is a structure that provides a foundation for data management and analysis, facilitating the organization, storage, and retrieval of information efficiently. This framework allows analysts and data scientists to work with complex datasets, structuring information in formats that are easily manipulable and understandable. In the context of Explainable Artificial Intelligence (XAI), the Data Framework plays a crucial role, as it helps to break down and present data in a way that the results of AI models can be interpreted. The main features of a Data Framework include its ability to integrate different types of data, its flexibility to adapt to various applications, and its focus on transparency, which is essential for explainability in AI. By providing a clear and accessible context for data, the Data Framework improves the quality of analysis and fosters trust in the results obtained, allowing users to understand how certain conclusions and data-driven decisions have been reached.
