The paper presents a case study of the FRIA project, aimed at researching and specifying a methodology to assess the impact of Artificial Intelligence (AI) systems on fundamental rights. In this paper we present a case study on an AI-based hiring system to test the methodology and define the interactions with the final users. The research output is a prototype tool to support and automate the fundamental rights impact assessment of high-risk AI systems, which aims to comply with the requirements of the European Artificial Intelligence Act. The research methodology is interdisciplinary and based on a collaboration between legal professionals and computer scientists in the framework of the SoBigData Research Infrastructure (www.sobigdata.eu). It starts from the study of the existing legal and ethical frameworks concerning AI and human rights at the International and European levels and the translation of the identified rules and principles into a set of parameters to measure the AI risk and provide a synthetic set of requirements to create a semi-automated risk assessment model.
Gatt, L., Caggiano, I., Gaeta, M., Troisi, E., Lo Conte, M., Trasarti, R., et al. (2025). A Case Study of the FRIA Project: Supporting Human Evaluation of an AI-Based Hiring System. In L.T. De Paolis, P. Arpaia, M. Sacco (a cura di), Extended Reality. Lecture Notes in Computer Science (pp. 98-116). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-97781-7_8].
A Case Study of the FRIA Project: Supporting Human Evaluation of an AI-Based Hiring System
Lo Conte, MT
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2025-10-01
Abstract
The paper presents a case study of the FRIA project, aimed at researching and specifying a methodology to assess the impact of Artificial Intelligence (AI) systems on fundamental rights. In this paper we present a case study on an AI-based hiring system to test the methodology and define the interactions with the final users. The research output is a prototype tool to support and automate the fundamental rights impact assessment of high-risk AI systems, which aims to comply with the requirements of the European Artificial Intelligence Act. The research methodology is interdisciplinary and based on a collaboration between legal professionals and computer scientists in the framework of the SoBigData Research Infrastructure (www.sobigdata.eu). It starts from the study of the existing legal and ethical frameworks concerning AI and human rights at the International and European levels and the translation of the identified rules and principles into a set of parameters to measure the AI risk and provide a synthetic set of requirements to create a semi-automated risk assessment model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
