European Humanities University

Summary: 1. Introduction. – 2. Methodology. – 3. Results and Discussion. – 3.1. AI’s Transformative Potential in the Judicial Sector. – 3.2. Ethical Guidelines for AI in the Justice System. – 3.3. Assistive AI in Judicial Decision-Making. – 3.4. Procedural AI in Court Administration. – 3.5. Fully Autonomous AI (“Robot Judges”). – 3.6. EU AI Act (2024) and Soft Laws. – 3.7. International Legal Instruments. – 4. Conclusions.

The New Space Economy is characterized by the use of standardized and miniaturized components, which, combined with easier access to space, enable cost-efficient space system solutions. Despite the availability of standard satellite platforms and interfaces, modern space services often require the integration of disruptive payload technologies, introducing new engineering challenges. Model-Based Systems Engineering (MBSE) provides a digital framework to integrate such payloads into existing satellite platforms, capturing key design information from stakeholder needs to final system realization. However, satellite digital models are often developed in isolation and tailored to specific mission objectives. Even when based on standard methodologies, the reuse of model elements remains cumbersome and error-prone, leading to risks of inconsistent traceability and functional misalignment across missions. Moreover, existing agile functional modeling approaches are not always aligned with broader digital transformation goals, as they typically rely on graphical notations, which limit model accessibility and make reuse complex and time-consuming. Therefore, this paper proposes an object-oriented functional approach for managing satellite platform digitalization in a modular and reusable manner through functional grouping. An automated framework was developed to support fast, consistent deployment of satellite digital models across missions, leveraging standard solutions and use cases. By enabling configuration and workflow automation, the approach contributes to the System as Code transition in systems engineering. The results demonstrate the potential of combining object-oriented functional analysis with the System as Code paradigm to streamline the development of standard satellite platforms for New Space missions, supporting broader and more effective MBSE adoption.

Post-electoral protests in 2020 were unprecedented in Belarus: not only in terms of their massive size and long duration, but also because of the abundant use of humor by the protesters. As a phenomenon that has both cognitive and emotional sides, humor plays an important role in political protests. It can help as a way to cope with anger and fear, but it can also mark people’s belonging to certain social groups. Using Belarusian 2020 protest posters as data sources, we explore what topics of protest humor were popular, how protest posters functioned as a prominent instrument of political activism, and why humor played such a pivotal role in 2020 Belarusian political protests. We argue that one of the most significant and appealing aspects of the use of protest humor was how it allowed individuals to express their political views in creative ways as opposed to the more simplified and straightforward rhetorical tools of authoritarian systems. With the rise of police brutality and repression against protestors, humor became a way to demarcate clear boundaries between a violent “them” and a creative, intelligent, and peaceful “us.”

The peculiarity of the information society is not only its attitude towards the availability of information facilities, but also new approaches and assessments to the functioning of society. Digitalization leads to the possibility of greater access to other‘s experiences, which enables comparisons to be made and the best behavioural strategies to be formed. This affects perceptions of social policy management both within the system and among stakeholders, changing them in many ways, including neuropsychological and neuroeconomic. Social responsibility has taken on a special value in the realities of the information society and has become particularly important part of social policy. The issues of corporate social responsibility are given quite a lot of attention from the point of view of business aspects, while in the sphere of education the issues of social responsibility are considered to a much lesser extent. The aim of this article is to explore dimensions of enhancing the management of social responsibility policy in the information society on the example of university environment and to identify the attitude of university applicants to the presence of social responsibility policy in the university.

Cognitive challenges and decision-making complexity are intensifying in the digital era, particularly within project management frameworks affected by systemic crises such as the COVID-19 pandemic. This study explores how digital technologies reshape project management by influencing information processing, coordination, and governance models in both the private and public sectors. Drawing on empirical evidence from Ukrainian public institutions and SMEs, the article identifies the uneven pace of digital adoption and the structural, ethical, and informational asymmetries that hinder optimal implementation. The study highlights how big data, intelligent analytics, and emerging AI applications—particularly neural computing and machine learning—introduce new paradigms of cognitive processing, configuration management, and value generation across the project lifecycle. It also addresses infrastructural and organisational obstacles, such as digital inequality, information overload, and the need for adaptive decision models. Special attention is given to public administration, where digital tools must balance democratic inclusivity with system efficiency. The findings underscore the dual role of digital technologies as both enablers and disruptors of traditional management logic, requiring a fundamental reconceptualisation of how information is structured, evaluated, and acted upon in dynamic environments.

The article proposes a systematization of perspectives on participatory culture. The relevance of this research lies in critically examining both the phenomenon of participatory culture itself and its potential for shaping what is commonly referred to as “participatory democracy”. The first section explores key concepts such as collective intelligence, convergent culture, participatory culture, prosumption, and produsage, accumulating positive perspectives on participatory culture. The second section analyzes the creative activity of grassroots communities through the lens of Foucault’s microphysics of power and the political-economic critique of digital capitalism, providing some critical perspectives on participation and participatory culture. The analysis of both positive and critical perspectives allows to come to conclusion that participatory culture, as Jenkins envisioned it by studying fan communities, has little in common with participatory democracy for several reasons: (1) Fan communities demonstrate a new form of escapism, directing the creative energy of their members toward immersion in the imaginary worlds of popular culture, exploring and expanding these worlds rather than addressing real social issues. (2) Modern digital culture initiates a symbiosis of humans and technologies, creating a socio-technological ecosystem in which the creative activity of prosumers, if not fully subordinated, is at least significantly dependent on software design. (3) Social media are colonized by corporations for which prosumers are a source of surplus value; therefore, speaking of the participatory nature of social networks consciously or unconsciously supports the ideology of capital.

This article explores how generative media and artificial intelligence reshape subjectivity, perception, and communication in the (post) digital age.Drawing on critical theory and psychoanalysis -particularly the works of Mark Andrejevic, Slavoj iek, Bernard Stiegler, John Black, and others -the article analyzes how algorithmically-driven media affect the dynamics of desire, knowledge, and autonomy.Special attention is given to the dialectic between subjectivity and algorithmic regulation, the psychoanalytic concept of the "desire not to know," and the transformation of creativity under conditions of automated content production.The discussion uncovers the ideological functions of generative media, showing how AI does not merely mediate perception but actively participates in the structuring of the unconscious.Tracing the historical evolution of media as both technological and symbolic systems, the article argues for a critical re-evaluation of the socio-political and epistemological implications of AI-generated content.Ultimately, it challenges the presumed neutrality of generative technologies, foregrounding their role in the reproduction of power, desire, and subject formation.