explain17Ms
Explain17Ms is a structured framework designed to guide the development and evaluation of explanations in machine learning systems and artificial intelligence applications. The model consists of seventeen interrelated elements that teachers, developers, and users consider when constructing clear, actionable, and trustworthy explanations. Each element addresses a distinct dimension of what constitutes a useful explanation, ranging from the content of the explanation itself to its contextual relevance for different stakeholders.
The seventeen elements include Source, Scope, Format, Complexity, Relevance, Accuracy, Rationale, Narrative, Visualization, Personalization, Transparency, Comparability,
Explain17Ms emerged from interdisciplinary research in human‑computer interaction, data science, and philosophy of explanation. The framework