9 research outputs found

    The right to contest automated decisions under the General Data Protection Regulation

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    The right to contest automated decisions as provided by Article 22 of the General Data Protection Regulation (GDPR) is a due process provision with concrete transparency implications. Based on this, the paper in hand aims, first, to provide an interpretation of Art 22 and the right to contest (as the key provision in determining the contours of transparency in relation to automated decisions under the GDPR); second, to provide a systematic account of possible administrative, procedural, and technical mechanisms (transparency measures) that could be deployed for the purpose contesting automated decisions; and third, to examine the compatibility of these mechanisms with the GDPR. Following the introduction, Part II starts with an analysis of the newly enacted right to contest solely automated decisions as provided under Article 22 of the GDPR. This part identifies the right to contest in Article 22 as the core remedy, with inherent transparency requirements which are foundational for due process. Setting the right to contest as the backbone of protection against the adverse effects of solely automated decisions, Part III focuses on certain key points and provisions under the GDPR, which are described as the 1st layer (human-intelligible) transparency. This part explores to what extent “information and access” rights (Articles 13, 14, and 15) could satisfy the transparency requirements for the purposes of contestation as explained in Part II. Next, Part IV briefly identifies the limits of 1st layer transparency – explaining how technical complexity together with competition and integrity-related concerns render human-level transparency either infeasible or legally impossible. In what follows, Part V conceptualizes a 2nd layer of transparency which consists of further administrative, procedural, and technical measures (i.e., design choices facilitating interpretability, institutional oversight, and algorithmic scrutiny). Finally, Part VI identifies four regulatory options, combining 1st and 2nd layer transparency measures to implement Article 22. The primary aim of the paper is to provide a systematic interpretation of Article 22 and examine how “the right to contest solely automated decisions” could help give meaning to the overall transparency provisions of the GDPR. With a view to transcend the current debates about the existence of a so-called right to an explanation, the paper develops an interdisciplinary approach, focusing on the specific transparency implications of the “right to contest” as a remedy of procedural nature

    Machine learning and the relevance of IP rights:An account of transparency requirements for AI

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    As a sub-branch of Artificial Intelligence (AI), Machine Learning (ML) is an inductive method of problem solving which can accomplish tasks that once required human participation and discretion. As governments and other institutions increasingly deploy ML-based systems to predict, rate and act upon individuals’ behaviour or personal traits, there is growing political and legal demand for transparency so that the outcome of these systems could be interpretable, and thus contestable where necessary. Previous research has revealed that transparency in automated decisionmaking (ADM) entails not only openness and disclosure in the conventional sense but further administrative and technical measures such as the algorithmic audit or black-box testing of these systems. The implementation of such broadened scope of transparency inevitably involves the reproduction and/or adaptation of the relevant informational elements and components of the ML-based systems. This gives rise to the questions: (1) to what extent reliance on Intellectual Property (IP) rights could excuse automated decision-makers from the obligation of making transparent and contestable decisions, e.g., under Article 22 of the General Data Protection Regulation (GDPR); (2) what are the counter-arguments based on statutory exceptions and limitations restricting IP rights; and (3) what may be the possible solutions either within the IP regime or through regulatory intervention. Overall, the paper aims obtain a macro-view of the potential areas of conflict between the possible transparency measures/tools and the relevant IP regimes – i.e., copyright, sui generis database right and trade secret protection

    The right to contest automated decisions under the General Data Protection Regulation

    No full text
    The right to contest automated decisions as provided by Article 22 of the General Data Protection Regulation (GDPR) is a due process provision with concrete transparency implications. Based on this, the paper in hand aims, first, to provide an interpretation of Art 22 and the right to contest (as the key provision in determining the contours of transparency in relation to automated decisions under the GDPR); second, to provide a systematic account of possible administrative, procedural, and technical mechanisms (transparency measures) that could be deployed for the purpose contesting automated decisions; and third, to examine the compatibility of these mechanisms with the GDPR. Following the introduction, Part II starts with an analysis of the newly enacted right to contest solely automated decisions as provided under Article 22 of the GDPR. This part identifies the right to contest in Article 22 as the core remedy, with inherent transparency requirements which are foundational for due process. Setting the right to contest as the backbone of protection against the adverse effects of solely automated decisions, Part III focuses on certain key points and provisions under the GDPR, which are described as the 1st layer (human-intelligible) transparency. This part explores to what extent “information and access” rights (Articles 13, 14, and 15) could satisfy the transparency requirements for the purposes of contestation as explained in Part II. Next, Part IV briefly identifies the limits of 1st layer transparency – explaining how technical complexity together with competition and integrity-related concerns render human-level transparency either infeasible or legally impossible. In what follows, Part V conceptualizes a 2nd layer of transparency which consists of further administrative, procedural, and technical measures (i.e., design choices facilitating interpretability, institutional oversight, and algorithmic scrutiny). Finally, Part VI identifies four regulatory options, combining 1st and 2nd layer transparency measures to implement Article 22. The primary aim of the paper is to provide a systematic interpretation of Article 22 and examine how “the right to contest solely automated decisions” could help give meaning to the overall transparency provisions of the GDPR. With a view to transcend the current debates about the existence of a so-called right to an explanation, the paper develops an interdisciplinary approach, focusing on the specific transparency implications of the “right to contest” as a remedy of procedural nature
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