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dc.contributor.authorLASMAR ALMADA, Marco Antonio
dc.contributor.authorDYMITRUK, Maria
dc.date.accessioned2022-04-20T13:11:32Z
dc.date.available2022-04-20T13:11:32Z
dc.date.issued2022
dc.identifier.citationEleni KOSTA and Ronald LEENES (eds), Research handbook on EU data protection, Cheltenham ; Massachusetts : Edward Elgar, 2022, Research Handbooks in European Law series, pp. 270-289en
dc.identifier.isbn9781800371675
dc.identifier.isbn9781800371682
dc.identifier.urihttp://hdl.handle.net/1814/74443
dc.description.abstractThe words "judicial automation" invoke a broad range of images, ranging from time-saving tools to decision-aiding tools or even quixotic ideas of robot judges. As the development of artificial intelligence technologies expands the range of possible automation, it also raises questions about the extent to which automation is admissible in judicial contexts and the safeguards required for the safe use of AI in judicial contexts. This chapter argues that these applications raise specific challenges for data protection law, as the use of personal data for judicial automation requires the adoption of safeguards against risks to the right to a fair trial. The chapter discusses current and proposed uses of judicial automation, identifying how they use personal data in their operation and the issues that arise from this use, such as algorithmic biases and system opacity. By connecting these issues to the safeguards required for automated decision-making and data protection by design, the chapter shows how data protection law may contribute to a fair trial in contexts of judicial automation and highlights open research questions in the interface between procedural rights and data protection.en
dc.language.isoenen
dc.publisherEdward Elgaren
dc.titleData protection and judicial automationen
dc.typeContribution to booken
dc.identifier.doi10.4337/9781800371682


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