Acta Informatica Pragensia, 2025 (vol. 14), issue 2
Editorial
Theory and Practice of Generative Artificial Intelligence Usage
David Chudan, Miroslav Vacura
Acta Informatica Pragensia 2025, 14(2), 191-194 | DOI: 10.18267/j.aip.284368 
This editorial summarizes the special issue entitled “Theory and Practice of Generative Artificial Intelligence Usage” and briefly reflects on generative artificial intelligence-related phenomena. Generative artificial intelligence is a new technology that is not only known in professional circles but has also gained widespread recognition and popularity due to its easy accessibility and benefits for lay users. The high level of interest in this technology stems not only from current experience with it and its current usefulness, but also from the assumption that this new technology will significantly affect a wide range of industries,...
Article
Creativity, Artificial Intelligence and (Neo-)Romantic Implicit Religion
Michal Cerny
Acta Informatica Pragensia 2025, 14(2), 195-206 | DOI: 10.18267/j.aip.2622854
Background: The relationship between creativity and generative artificial intelligence (AI) is often reduced to whether a technical system can be creative or how it will transform creative industries. The study is based on the concept of implicit religion, which applies to the relationship between generative artificial intelligence and humans.Objective: The study identifies two narratives that can be used to explain the relationship between humans and technology in the theoretical field of implicit religion: (Neo-)Romanticism and Enlightenment. (Neo-)Romanticism, emphasising the value of creativity in the process rather than the outcome, can be seen...
Exploring Oral History Archives Using State-of-the-Art Artificial Intelligence Methods
Martin Bulín, Jan ©vec, Pavel Ircing, Adam Frémund, Filip Polák
Acta Informatica Pragensia 2025, 14(2), 207-214 | DOI: 10.18267/j.aip.2681365
Background: The preservation and analysis of spoken data in oral history archives, such as Holocaust testimonies, provide a vast and complex knowledge source. These archives pose unique challenges and opportunities for computational methods, particularly in self-supervised learning and information retrieval.Objective: This study explores the application of state-of-the-art artificial intelligence (AI) models, particularly transformer-based architectures, to enhance navigation and engagement with large-scale oral history testimonies. The goal is to improve accessibility while preserving the authenticity and integrity of historical records.Methods: We...
Generative Artificial Intelligence in Ubiquitous Learning: Evaluating a Chatbot-based Recommendation Engine for Personalized and Context-aware Education
Manel Guettala, Samir Bourekkache, Okba Kazar, Saad Harous
Acta Informatica Pragensia 2025, 14(2), 215-245 | DOI: 10.18267/j.aip.2692098
Background: Ubiquitous learning environments aim to provide personalized and context-aware educational resources; however, traditional recommendation systems often fall short in meeting these dynamic learner needs.Objective: This study develops and evaluates a chatbot-based recommendation system that uses generative AI and prompt engineering techniques to enhance recommendation accuracy and user engagement in ubiquitous learning contexts.Methods: A ChatGPT-powered chatbot was implemented using few-shot prompting and dynamic context integration to deliver personalized, real-time educational support. The system was deployed using an intuitive Gradio...
Evaluating Reasoning in Large Language Models with a Modified Think-a-Number Game: Case Study
Petr Hoza
Acta Informatica Pragensia 2025, 14(2), 246-260 | DOI: 10.18267/j.aip.2731331
Background: Large language models (LLMs) excel at various tasks but often encounter difficulties when extended reasoning requires maintaining a consistent internal state. Identifying the threshold at which these systems fail under increasing task complexity is essential for reliable deployment. Objective: The primary objective was to examine whether four LLMs (GPT 3.5, GPT 4, GPT 4o-mini and GPT 4o) could preserve a hidden number and its arithmetic transformation across multiple yes/no queries and to determine whether a specific point of reasoning breakdown exists. Methods: A modified “Think a Number” game was employed, with complexity...
Student Perceptions and Preferences in Personalized AI-driven Learning
Marta Slepankova, Kristyna Kilianova, Petra Kockova, Katerina Kostolanyova, Martin Kotyrba, Hashim Habiballa
Acta Informatica Pragensia 2025, 14(2), 261-271 | DOI: 10.18267/j.aip.2781018
Background: The use of artificial intelligence (AI) in education opens new possibilities for personalized learning. AI-driven systems allow students to progress at their own space, receive real-time feedback and have learning materials adapted to their individual needs. However, questions remain regarding studentsʹ perceptions of this approach and its effectiveness compared to traditional teaching methods.Objective: This study aimed to analyse university studentsʹ attitudes and preferences towards AI-driven personalized learning and identify key factors influencing its effectiveness and adoption.Methods: A mixed-method approach was employed,...
Miscellanea
Universal Basic AI Access: Countering the Digital Divide
Petr ©pecián, Jitka ©peciánová
Acta Informatica Pragensia 2025, 14(2), 272-281 | DOI: 10.18267/j.aip.2701353
Generative artificial intelligence (GAI) presents an opportunity to democratize access to high-performance, easy-to-use tools of productivity enhancement. However, current adoption patterns suggest that it may instead amplify existing digital divides. The aim of this paper is to propose a policy intervention to ensure equitable access to frontier GAI capabilities: the universal basic AI access (UBAI). Relying on literature research and theoretical analysis, we examine two implementation variants: a voucher-based system making use of commercial providers (UBAI-Light) and direct public provision of GAI services (UBAI-Heavy). We also consider a gradual...
Political Actors in the Age of Generative Artificial Intelligence: The Czech Perspective
Daniel ©árovec
Acta Informatica Pragensia 2025, 14(2), 282-295 | DOI: 10.18267/j.aip.2721648
Background: The phenomenon of artificial intelligence (AI) has been studied for decades. However, only the ascent of tools such as ChatGPT brought AI into a broader public consciousness, as people started using it for a broad spectrum of tasks and questions.Objective: The goal of this overview article is to present a new perspective on AI issues in the context of the social sciences and, more specifically, political science. Indeed, AI tools play an important role in the political process—a fact reflected by governments and other political actors, including political parties.Methods: The qualitatively and interpretively oriented paper seeks to...