Fundamental rights and artificial intelligence impact assessment: A new quantitative methodology in the upcoming era of AI Act

IF 3.3 3区 社会学 Q1 LAW
Samuele Bertaina, Ilaria Biganzoli, Rachele Desiante, Dario Fontanella, Nicole Inverardi, Ilaria Giuseppina Penco, Andrea Claudio Cosentini
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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.
基本权利与人工智能影响评估:即将到来的人工智能法案时代的一种新的定量方法
《欧盟人工智能法案》要求人工智能(AI)系统的部署者对该法规第27条中确定的一些高风险AI系统进行基本权利影响评估(FRIA)。这项工作的目的是提供一个全面的框架来评估人工智能系统对个人基本权利(FR)的影响。简而言之,我们提出的评估方法包括两个阶段:(1)一个开放式问卷,有助于收集背景信息和技术特征,以便正确识别FR的潜在威胁;(2)一个定量矩阵,考虑欧洲基本权利宪章保障的每项权利,并试图用可追溯和稳健的程序衡量潜在影响。鉴于人工智能系统的使用日益普遍,并考虑到此类技术的特殊性,我们认为仍然缺乏评估对个人FR影响的结构化和定量过程,并且在发现和补救可能的违规行为方面可能非常重要。事实上,拟议的框架可以允许:(1)在评估实施影响人类的人工智能系统的风险时负责任和透明;(2)获得洞察力,以了解是否有任何权利受到威胁或任何群体更加脆弱;(3)如有必要,在部署人工智能系统之前,通过可证明的缓解措施,制定补救策略,以符合法规并限制声誉损害。
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来源期刊
CiteScore
5.60
自引率
10.30%
发文量
81
审稿时长
67 days
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.
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