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Affiliation

Department of Private Law, University of the Balearic Islands, Ctra. de Valldemossa, Km. 7.5, 07122 - Palma de Mallorca, Spain

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1 Papers

Towards an Evaluation Framework for Explainable Artificial Intelligence Systems for Health and Well-Being

Topics: Software Development Methodologies; Ethics and Social Implications and SSE ; Process Improvement; SSE for Social Computing

Authors: Esperança Amengual-Alcover ¹ , Antoni Jaume-i-Capó ¹ , Miquel Miró-Nicolau ¹ , Gabriel Moyà-Alcover ¹ and Antonia Paniza-Fullana ²

Affiliations: ¹ Department of Mathematics and Computer Science, University of the Balearic Islands, Ctra. de Valldemossa, Km. 7.5, 07122 - Palma de Mallorca, Spain , ² Department of Private Law, University of the Balearic Islands, Ctra. de Valldemossa, Km. 7.5, 07122 - Palma de Mallorca, Spain

Digital Object Identifier: 10.5220/0013289600003928

Proceedings of ENASE 2025, ISBN: 978-989-758-742-9

Quick Abstract

The integration of Artificial Intelligence in the development of computer systems presents a new challenge: make intelligent systems explainable to humans. This is especially vital in the field of health and well-being, where transparency in decision support systems enables healthcare professionals to understand and trust automated decisions and predictions. To address this need, tools are required to guide the development of explainable AI systems. In this paper, we introduce an evaluation framework designed to support the development of explainable AI systems for health and well-being. Additionally, we present a case study that illustrates the application of the framework in practice. We believe that our framework can serve as a valuable tool not only for developing explainable AI systems in healthcare but also for any AI system that has a significant impact on individuals.