FRIA implementation model according to the AI Act
Gatt L., Caggiano I. A., Gaeta M. C., Savella R., Troisi E., Pratesi F., Trasarti R.
risk management K623-968 AI Act FRIA ai act high-risk ai systems Civil law high-risk AI systems lawðics ELS els Ethics fria metrics methodology impact assessment Law&
The paper presents the FRIA project aimed at researching and specifying a methodology to assess the impact of Artificial Intelligence (AI) systems on fundamental rights, as recognised by the international and European regulations of hard law and soft law, with the specific reference to the judicial sector as the field of analysis. The research methodology starts from the study of the existing legal and ethical frameworks concerning AI and human rights and the translation of the identified rules and principles into a set of synthetic requirements to create an automated risk assessment metodology. The research autput is a prototype tool to support and automate the fundamental rights impact assessment of high-risk AI systems, which is in line with the requirements of the European Artificial Intelligence Act.
Publisher: Institute of Electrical and Electronics Engineers Inc.
Metrics
Back to previous page
@inproceedings{oai:iris.cnr.it:20.500.14243/554925,
title = {FRIA implementation model according to the AI Act},
author = {Gatt L. and Caggiano I. A. and Gaeta M. C. and Savella R. and Troisi E. and Pratesi F. and Trasarti R.},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
doi = {10.1109/metroxraine62247.2024.10796624 and 10.57230/ejplt242lgiacmcgetrsrtfp},
year = {2024}
}
0000-0002-4260-4473
SoBigData-PlusPlus
SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics
SoBigData.it – Strengthening the Italian RI for Social Mining and Big Data Analytics
SoBigData.it – Strengthening the Italian RI for Social Mining and Big Data Analytics
