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• Current Challenges of Confidentiality and Publicity in the View of Information Security

  24-41

  Tamás Szádeczky

  Gergely László Szőke

  Views:

  171

  The paper analyses the issues of confidentiality and publicity, arising from current information security legislation in Hungary. First of all the information security as a state task is analyzed. In Hungary, the information security controls of state and local government entities are regulated. Afterward, on the one hand, the information security as a tool for data protection regulation, state secrets and freedom of information were discussed. On the other hand, information security can be an object of the law, when the protection of security controls is required. One of the main findings of the research was that the information security controls applied at state entities are generally public data (according to freedom of information regulation). Thus it might not stay confidential. We formed proposals to solve this issue.

• ’The more speech, the better’: Review of the Book of András Koltay on New Media and Freedom of Speech

  Gergely Gosztonyi

  Views:

  279

  At first glance, the new book of András Koltay seems to be a translation of his recently published volume, New Media and Freedom of Expression: Rethinking the Constitutional Foundations of the Public Sphere (Hart International, 2019). Therefore, one would expect that the work itself does not provide any new information to those who already know the original in English. That could not be less true. As we get to the bottom of this false impression, the review shows the many virtues and minor mistakes of the book.

• Disclosure of the Data of State-owned Companies in Hungary and Germany: Similarities and Differences

  83-101

  Laura De Negri

  Views:

  73

  The article analyses in a comparative manner the way the publication of data works in Hungary and Germany in the case of state-owned companies. The subject of the analysis is furthermore how the transparency of public property is compatible with the functioning of the market and the protection of trade and business secrets. The article devotes special attention to the issue of the relationship between the request for data in the public interest and trade secrets, and, whether the disclosure of such data may be refused on the basis of avoiding potential business damage. Given that the disclosure of data with public interest and its accessibility are inseparable from the freedom of information, the relevant laws in the countries subject to analysis are also presented. The article highlights the exemplary solutions of the German legal system and, finally, compares the similarities and differences in the regulatory concepts of the two legal systems.

• Facebook files – is Hate Speech Deleted? The Human Rights As- pects of Content Control of Social Media Platforms

  115-136

  Krisztina Nagy

  Views:

  498

  The internet intermediaries, such as services like Google and Facebook became important actors who can influence the media supply through the personalised information flow tailored by their own algorithms and due to the content moderation of their own platforms. These services have exceeded their previous activities which were merely of an intermediary scope and this change affects substantially the fulfilment of international human rights standards. The article analysed first and foremost the operation of the internet intermediaries, especially of the social media platforms from the freedom of expression point of view. It seeks answers to the question to what extent does the moderation of the user generated content on the platforms, i.e. removing and blocking contents which do not comply with the terms and conditions of the platforms, comply with the requirements of the restriction of human rights. Based on the analysis of Facebook’s own regulatory framework, it evaluates content moderation activity on hate speech on the platform in the context of human rights. It points out the guarantees of human rights which are missing from the content control mechanisms of Facebook.

• 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.