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• Personal data protection in the public sector in frame of the GDPR

  39-54

  Szilvia Váradi

  Views:

  459

  The European Union has finished the reform of the European data protection rules, and the main result is the General Data Protection Regulation (GDPR), which entered into force after a two-year period on 25 May 2018. The GDPR draws special attention to the protection of personal data not only in the private-, but also in the public sector. It introduces several significant changes and restrictions, but after almost a year of being in force, there is still some uncertainty as to how we can apply its provisions, especially for public authorities and bodies. Therefore, the aim of this paper is to explore the relevant data protection provisions of GDPR regarding the public sector and to clarify any misunderstandings in this field.

• Developing Blockchain-Based Distributed AI for Personal Data Protection

  9-27

  Dániel Eszteri

  Views:

  572

  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.

• Privacy Issues Regarding the Use of Web Cookies

  43-58

  Anita Boros

  Views:

  352

  EU cookie laws have been in place since 2011, but before the entry into force of the GDPR, the conditions for consent were interpreted differently across Europe. Since the GDPR came into effect, there has been a great deal of interest in how it applies to cookies and similar technologies. The GDPR updated the EU’s longstanding digital privacy framework, with key additions including tightening the rules around consent as a legal basis for processing personal data. The purpose of this study is to clarify for data controllers the rules they need to pay attention to, in order to ensure that the use of cookies on its websites is strictly in accordance with applicable laws

• Certain Data Protection Issues of Innovations Affecting the Insurance Business in the Light of the GDPR

  62-83

  Mário Certicky

  Views:

  144

  Technological innovations affect many sectors of the economy, including the insurance business. Among these innovations, IoT-based (Internet of Things) solutions can be highlighted, the main feature of which is that real-time and continuous data collection is performed using the Internet, thus optimizing the risk management of the insurer. Given that a significant part of the data thus collected constitutes personal data, so the rules of the General Data Protection Regulation (GDPR) should apply. The data protection examination of the technologies affecting the insurance institution raises several issues which, in my view, significantly impede the application of these technological achievements. The study aims to explore these problems and make an attempt to make proposals to solve them.

• A Case Study on the Interaction Between the General Data Protection Regulation and Artificial Intelligence Technologies

  45-57

  Gizem Gültekin Várkonyi

  Views:

  244

  This paper presents a general overview of the problems regarding the regulation of artificial intelligence (AI) raised in the official published works of the European Union (EU) and interprets these problems from the perspective of the Hungarian experts as a case study. Even though a new regulation on AI has already been proposed at the EU level, the paper evaluates specific rules and principles regarding data protection since data is the lifeblood of AI systems and the protection of such data is a fundamental right enshrined in the EU legislation via the General Data Protection Regulation (GDPR). The result of the study shows that the application of the GDPR on AI systems in an efficient and uniform way might be at stake since different outputs were generated by the experts to the same legal questions deriving from a scenario presented.