000133404 001__ 133404
000133404 005__ 20240412150654.0
000133404 0247_ $$2doi$$a10.1007/s10676-024-09757-7
000133404 0248_ $$2sideral$$a138079
000133404 037__ $$aART-2024-138079
000133404 041__ $$aeng
000133404 100__ $$aHupont, Isabelle
000133404 245__ $$aUse case cards: a use case reporting framework inspired by the European AI Act
000133404 260__ $$c2024
000133404 5060_ $$aAccess copy available to the general public$$fUnrestricted
000133404 5203_ $$aDespite recent efforts by the Artificial Intelligence (AI) community to move towards standardised procedures for documenting models, methods, systems or datasets, there is currently no methodology focused on use cases aligned with the risk-based approach of the European AI Act (AI Act). In this paper, we propose a new framework for the documentation of use cases that we call use case cards, based on the use case modelling included in the Unified Markup Language (UML) standard. Unlike other documentation methodologies, we focus on the intended purpose and operational use of an AI system. It consists of two main parts: firstly, a UML-based template, tailored to allow implicitly assessing the risk level of the AI system and defining relevant requirements, and secondly, a supporting UML diagram designed to provide information about the system-user interactions and relationships. The proposed framework is the result of a co-design process involving a relevant team of EU policy experts and scientists. We have validated our proposal with 11 experts with different backgrounds and a reasonable knowledge of the AI Act as a prerequisite. We provide the 5 use case cards used in the co-design and validation process. Use case cards allows framing and contextualising use cases in an effective way, and we hope this methodology can be a useful tool for policy makers and providers for documenting use cases, assessing the risk level, adapting the different requirements and building a catalogue of existing usages of AI.
000133404 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T60-23R$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-136779OB-C31
000133404 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000133404 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000133404 700__ $$aFernández-Llorca, David
000133404 700__ $$0(orcid)0000-0002-9315-6391$$aBaldassarri, Sandra$$uUniversidad de Zaragoza
000133404 700__ $$aGómez, Emilia
000133404 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000133404 773__ $$g26, 19 (2024), [23 pp.]$$pETHICS AND INFORMATION TECHNOLOGY$$tETHICS AND INFORMATION TECHNOLOGY$$x1388-1957
000133404 8564_ $$s10106527$$uhttps://zaguan.unizar.es/record/133404/files/texto_completo.pdf$$yVersión publicada
000133404 8564_ $$s2259526$$uhttps://zaguan.unizar.es/record/133404/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000133404 909CO $$ooai:zaguan.unizar.es:133404$$particulos$$pdriver
000133404 951__ $$a2024-04-12-13:59:39
000133404 980__ $$aARTICLE