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• The Client and Authority Proceedings in the Digital Era

  Erzsébet Csatlós

  Views:

  121

  The study examines the digital transformation of Hungarian administrative procedure and the advance of automation. Based on statistical data, the study highlights that in connection with digital public administration procedures, the importance of customer-focused services appears as the standard of digital public administration. Digitalization is dominated by electronic contact options, online information and submission of electronic requests, rather than complete automation of administrative procedures. The study focuses on digital authority procedures from the point of view of how this manifests itself primarily for the client: how to satisfy the need for information, how to contact the authorities and how to initiate the procedure. In addition to the legal bases, this part primarily focuses on the possibilities. After that, the consequences of digital solutions (automation) for making substantive decisions from the customer's point of view are discussed; this part of the study therefore concentrates more on the normative side of the processes and finally analyzes this. As a result, it states that automatic decision-making is mainly used in case of registrative acts based on official records and decisions embodied in decision-type documents, but there are already examples of the automation of the decision-making mechanism in connection with the production of facts. Although more complex automation is just spreading its wings, in connection with the rapid technical development and innovations of recent years, the legal system must keep up with digitalization and not give in to it.

• Developing Blockchain-Based Distributed AI for Personal Data Protection

  9-27

  Dániel Eszteri

  Views:

  523

  The aim of the paper is to present some of the general principles of data protection law that can be applied to automated decision-making built on blockchain-based data processing in order to comply with the provision of the European Union’s General Data Protection Regulation (GDPR). The analysis focuses on the applicability of the ‘data protection by design’ principle during the development of such systems. My hypothesis is that because blockchain-based networks are built on distributed data processing operations, therefore data controlling or processing of participating nodes should comply with some abstract data protection patterns predetermined and collectively built-in during the system’s development phase. For the sake of better understanding, I presented the human mind and its ‘uploading’ with conscious and unconscious content as an analogy to blockchain-based AI systems. My goal is to highlight that the fusion of blockchain and machine learning-based AI can be a suitable technology to develop serious automated decision-making systems (so-called ‘distributed AI’). The compliance of these distributed AI systems with data protection law principles is a key issue regarding the very serious risks posed by them.