The article aims to determine whether, considering the current understanding (definition) of the term “public administration body,” it would be possible for the personal substrate of such a body to be replaced by an artificial intelligence algorithm. In other words, it is a matter of discovering whether a public administration body can exist and operate without human beings. The inspiration for such an article is the issue of eliminating the “human factor” from public administration, which seems to be the most unreliable element of the public administration system. The analysis took into account the concepts of public administration body as viewed by legal scholars and commentators (impersonal and personalistic concepts), as well as the actual normative environment of public administration bodies. As a result of the analysis, four fundamental problems have been identified, which need to be solved beforehand in order to consider the possibility of replacing a human being within public administration bodies with an artificial intelligence algorithm.

This study aimed to investigate the barriers to responsible interaction between the global employer, technology provider, and trade union to realize the postulate of ethical artificial intelligence in the algorithmic management process. To overcome the barriers, this study offers a pedagogical explanation based on a universal schema for shaping a machine-learning model.

The process of advancement of artificial intelligence (hereinafter: AI) seen in recent years results in breakthroughs in many areas of human life, such as medicine, agriculture, and science. However, despite its many advantages and benefits, it also inevitably creates room for abuse. This is particularly true of child pornography, where AI systems are increasingly being used to generate nude images of minors – both existing in reality and fictional. These cases, given much attention in the public debate, cause doubts as to whether existing normative solutions are suitable to combat this new phenomenon. The article aims to answer the question of whether the existing law makes it possible to successfully prosecute perpetrators who use AI systems to generate child pornography (including that depicting fictional charac-ters). In addition, it also offers an analysis of the criminal liability of the developers of the AI systems used in this process and of the hosting providers managing the websites used to distribute such pornographic content.

The process of advancement of artificial intelligence (hereinafter: AI) seen in recent years results in breakthroughs in many areas of human life, such as medicine, agriculture, and science. However, despite its many advantages and benefits, it also inevitably creates room for abuse. This is particularly true of child pornography, where AI systems are increasingly being used to generate nude images of minors — both existing in reality and fictional. These cases, given much attention in the public debate, cause doubts as to whether existing normative solutions are suitable to combat this new phenomenon. The article aims to answer the question of whether the existing law makes it possible to successfully prosecute perpetrators who use AI systems to generate child pornography (including that depicting fictional characters). In addition, it also offers an analysis of the criminal liability of the developers of the AI systems used in this process and of the hosting providers managing the websites used to distribute such pornographic content.

Francis Bacon says knowledge is power. The creation of knowledge and its dissemina-tion largely depends on the creation of literary works. The great works of Shakespeare, da Vinci, Homer, Picasso, Milton, Tagore etc. have been a treasure trove of mankind. Human beings have enjoyed the work, been inspired by the work, taken joy and eternal bliss in such works. However, the creation of knowledge is dependent on pre-existing knowledge. Creators create a work which requires hard work, imagi-nation, creativity and which is incentivised by recognition of their work. The legal order of a couth society affords protection to such a work by copyright law & fair use. Fair use allows a person to use a work by duly acknowledging and referencing the work. Issue of plagiarism and abuse of fair use was aggravated by human greed. The economic implication of copyright infringement aggravated the whole issue. Referencing turned into war. The Bluebook, the Maroonbook, the ALWD, the APA and OSCOLA citation styles engaged in some kind of a war. Reference management systems like Zotero, Endnote, Mendeley etc. just fanned the flame. Disruptive and generative artificial intelligence has created a serious challenge to academic research. In this paper, the author attempts to delve into the inter-linkage of academic writing, research, citation, copyright, referencing mechanism and plagiarism in contempo-rary society, and the aftermath of it. The author attempts to investigate the challenges of writing and the protection of works vis-a-vis referencing tools and techniques

The European Union and its Member States are increasingly turning to artificial intelligence (AI) technologies to enhance border controls. This is one of the manifestations of a broader trend of moving towards the so-called smart borders of the Union. This article presents EU initiatives on the development and implementation AI-based digital technologies to improve the control and security of the Union’s external borders. The main directions of the use of AI were analyzed, i.e. in the field of automatic recognition of fingerprints and faces, emotion detection, algorithmic profiling and monitoring, analysis and forecasting of migration. The aim of the article is, on the one hand, to show that the careful implementation and use of AI-based technology for border control can bring many benefits. On the other hand, however, these benefits must be balanced with the significant threat posed by these technologies to the protection of the fundamental rights of the individual.