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The study of the ethical impact of AI and the design of trustworthy systemsneeds the analysis of the scenarios where AI systems are used, which is relatedto the software engineering concept of "use case" and the "intended purpose"legal term. However, there is no standard methodology for use casedocumentation covering the context of use, scope, functional requirements andrisks of an AI system. In this work, we propose a novel documentationmethodology for AI use cases, with a special focus on the affective computingdomain. Our approach builds upon an assessment of use case information needsdocumented in the research literature and the recently proposed Europeanregulatory framework for AI. From this assessment, we adopt and adapt theUnified Modeling Language (UML), which has been used in the last two decadesmostly by software engineers. Each use case is then represented by an UMLdiagram and a structured table, and we provide a set of examples illustratingits application to several affective computing scenarios.

Documenting use cases in the affective computing domain using Unified Modeling Language