{"title":"Fundamental rights and artificial intelligence impact assessment: A new quantitative methodology in the upcoming era of AI Act","authors":"Samuele Bertaina, Ilaria Biganzoli, Rachele Desiante, Dario Fontanella, Nicole Inverardi, Ilaria Giuseppina Penco, Andrea Claudio Cosentini","doi":"10.1016/j.clsr.2024.106101","DOIUrl":null,"url":null,"abstract":"<div><div>The EU Artificial Intelligence Act requires that deployers of Artificial Intelligence (AI) systems perform a Fundamental Rights Impact Assessment (FRIA) for some high-risk AI systems identified in Art. 27 of the regulation. The aim of this work is to offer a comprehensive framework to assess the impact of AI systems on Fundamental Rights (FR) of individuals. In a nutshell, the assessment approach that we propose consists of two stages: (1) an open-ended questionnaire that helps gather the contextual information and the technical features, in order to properly identify potential threats for FR, and (2) a quantitative matrix that considers each right guaranteed by the European Charter of Fundamentals Rights and tries to measure the potential impacts with a traceable and robust procedure. In light of an increasingly pervasive use of AI systems and considering the specificity of such technologies, we believe that a structured and quantitative process for assessing the impact on FR of individuals is still lacking and could be of great importance in discovering and remedying possible violations. Indeed, the proposed framework could allow to: (1) be accountable and transparent in assessing the risks of implementing AI systems that affect people; (2) gain insights to understand if any right is threatened or any group of people is more vulnerable; (3) put in place, if necessary, remediation strategies before the deployment of AI systems through demonstrable mitigative actions, with the aim of being compliant with the regulation and limiting reputational damage.</div></div>","PeriodicalId":51516,"journal":{"name":"Computer Law & Security Review","volume":"56 ","pages":"Article 106101"},"PeriodicalIF":3.3000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Law & Security Review","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0267364924001663","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LAW","Score":null,"Total":0}
引用次数: 0
Abstract
The EU Artificial Intelligence Act requires that deployers of Artificial Intelligence (AI) systems perform a Fundamental Rights Impact Assessment (FRIA) for some high-risk AI systems identified in Art. 27 of the regulation. The aim of this work is to offer a comprehensive framework to assess the impact of AI systems on Fundamental Rights (FR) of individuals. In a nutshell, the assessment approach that we propose consists of two stages: (1) an open-ended questionnaire that helps gather the contextual information and the technical features, in order to properly identify potential threats for FR, and (2) a quantitative matrix that considers each right guaranteed by the European Charter of Fundamentals Rights and tries to measure the potential impacts with a traceable and robust procedure. In light of an increasingly pervasive use of AI systems and considering the specificity of such technologies, we believe that a structured and quantitative process for assessing the impact on FR of individuals is still lacking and could be of great importance in discovering and remedying possible violations. Indeed, the proposed framework could allow to: (1) be accountable and transparent in assessing the risks of implementing AI systems that affect people; (2) gain insights to understand if any right is threatened or any group of people is more vulnerable; (3) put in place, if necessary, remediation strategies before the deployment of AI systems through demonstrable mitigative actions, with the aim of being compliant with the regulation and limiting reputational damage.
期刊介绍:
CLSR publishes refereed academic and practitioner papers on topics such as Web 2.0, IT security, Identity management, ID cards, RFID, interference with privacy, Internet law, telecoms regulation, online broadcasting, intellectual property, software law, e-commerce, outsourcing, data protection, EU policy, freedom of information, computer security and many other topics. In addition it provides a regular update on European Union developments, national news from more than 20 jurisdictions in both Europe and the Pacific Rim. It is looking for papers within the subject area that display good quality legal analysis and new lines of legal thought or policy development that go beyond mere description of the subject area, however accurate that may be.