Designing, Implementing and Evaluating AI Explanations: a Scoping Review of Explainable AI Frameworks

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The unified model presented can help identify and select explainable AI frameworks for diverse design stages, enhancing usability.
XAI frameworks gathered from 73 articles emphasize their essential role in supporting human understanding of AI systems.
Scoping review analyzed the development and evaluation of frameworks, exposing critical gaps in current human-centered practices.
The findings highlight the importance of fostering human-centered design in AI applications to meet evolving user needs effectively.

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Scoping review of explainable AI frameworks shows their role in enhancing human-centered approaches, indicating future development needs.

Cortiñas-Lorenzo et al. (2025) studied this question.

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