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• The Value of Personal Data in the Competition Law Assessment of the Facebook–WhatsApp Merger Case

  131-147

  Gábor Polyák

  Gábor Pataki

  Views:

  237

  The European Commission fined Facebook 110 million euros for giving misleading information within the merger procedure on acquiring the messaging service WhatsApp in 2014. The case reached a crossroad of competition law, data protection and consumer law. This was the first time the Commission imposed a fine on a company for inaccurate information since the merger regulation rules were established in 2004. Some authors criticized not only the Commission’s decision from 2017 which imposed the fine, but also the decision from 2014 in which the Commission had decided not to oppose the transaction. Some authors oppose tackling data collection issues through competition law, but some authors raise the question: is competition law enough to consider the case when personal data are involved, too? The controversial part of the decision is not about data protection law, but about the value of personal data from the perspective of competition law.

• Developing Blockchain-Based Distributed AI for Personal Data Protection

  9-27

  Dániel Eszteri

  Views:

  535

  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.

• Past, Present and Future – Where is the restraining order Heading?

  84-100

  Andrea Noémi Tóth

  Views:

  144

  Le législateur hongrois voulait un moyen efficace contre la violence familiale. Ce moyen est devenu l’injonction d’éloignement qui existe dans la procédure pénale hongroise depuis 2006 comme une mesure coercitive du code de procédure pénale et depuis 2009, comme une ordonnance référé. Cette étude souhait résumer la régime de l’injonction d’éloignement en Hongrie aux propositions initiatives des exigences, qui sont montrées par l’Union Européenne. À partir de 2004, on doit accorder une grande attention aux préceptes européennes parce que les règles européennes font partie de notre vie. On doit mentionner la Directive 2011/99/UE du Parlement Européen et du Conseil du 13 décembre 2011 relative à la décision de protection européenne et le Réglement 606/2013 du Parlement Européen et du Conseil, parce qu’ils déterminent la protection européenne en matière pénale et civilie aussi. L’étude est fermée par les propositions, pour améliorer l’efficacité de l’injonction d’éloignement et assurer une protection de plus haut niveau pour les victimes de la violence familiale. On ne peut pas éviter l’actualité des propositions, en considérant la codification du code de procédure pénale.