AI-SMART 2025: International Scientific Multidisciplinary Conference: AI for a Smarter Tomorrow - Conference Proceedings
AI-SMART 2025: International Scientific Multidisciplinary Conference: AI for a Smarter Tomorrow - Conference Proceedings
Contributor(s): Ivana Ogrizek Biškupić (Editor), Isidora Behara (Editor), Žarko Rađenović (Editor)
Subject(s): Economy
ISSN: 3104-3518
Published by: Udruženje ekonomista i menadžera Balkana
Series: AI-SMART: International Scientific Multidisciplinary Conference: AI for a Smarter Tomorrow
- Print-ISBN-13: 978-86-83134-08-3
- Page Count: 362
- Publication Year: 2025
- Language: English
Beyond Efficiency: How Artificial Intelligence Shapes Corporate Sustainability Opportunities and Challenges
Beyond Efficiency: How Artificial Intelligence Shapes Corporate Sustainability Opportunities and Challenges
(Beyond Efficiency: How Artificial Intelligence Shapes Corporate Sustainability Opportunities and Challenges)
- Author(s):Magdalena Wittmann
- Language:English
- Subject(s):Social Sciences
- Page Range:1-9
- No. of Pages:10
- Keywords:Artificial Intelligence (AI); Corporate Sustainability; Value Chain
- Summary/Abstract:Artificial Intelligence (AI) is increasingly seen as an enabler of corporate sustainability, yet its concrete contributions remain underexplored. This paper examines how narrow AI systems, particularly machine learning, can support sustainable value creation across the corporate value chain. Six domains are analyzed: research and development, procurement, production, logistics, product use, and end-of-life management. The study employs a mixed-method design, combining a structured literature review with three expert interviews. Findings indicate that AI generates notable economic and ecological benefits, primarily through efficiency gains, predictive analytics, and optimized resource allocation. Strong impacts are observed in production and logistics, where AI reduces emissions and waste. However, social contributions remain limited, with risks including job displacement, algorithmic bias, and opacity. The paper concludes that AI cannot serve as a stand-alone solution but holds potential as a socio-technical enabler when embedded within governance frameworks that align innovation with ecological and social priorities.
The Role of Artificial Intelligence in Financial Markets and the Banking Sector in Albania
The Role of Artificial Intelligence in Financial Markets
and the Banking Sector in Albania
(The Role of Artificial Intelligence in Financial Markets
and the Banking Sector in Albania)
- Author(s):Irsida Dinoshi, Dafina Dodoveci
- Language:English
- Subject(s):Social Sciences
- Page Range:11-21
- No. of Pages:12
- Keywords:Artificial Intelligence; Financial Sector; GDP; Operational Efficiency; Remittances
- Summary/Abstract:This research explores the transformative role of Artificial Intelligence (AI) in the financial sector, with a specific focus on Albania’s financial market. AI has revolutionized financial operations worldwide by enhancing efficiencies, improving risk management, and optimizing customer services. In this study, the authors examine the adoption and implementation of AI technologies in financial institutions, specifically banks, and insurance companies in Albania. The authors analyze the opportunities AI presents, including cost reductions, revenue generation, and better risk assessment, while also addressing the associated risks such as data bias, transparency issues, and cybersecurity concerns. Through a comparative analysis with more advanced economies, is evaluated Albania’s current AI integration level and its potential for future growth. The study uses both qualitative and quantitative methodologies to assess the impact of AI on Albania’s financial system and its prospects for aligning with EU standards. The results of this research aim to provide actionable insights for policymakers, financial institutions, and stakeholders to facilitate the safe and efficient use of AI in Albania’s financial market.
Towards a Principled Framework for Artificial Intelligence in Tax Evasion Enforcement
Towards a Principled Framework for Artificial Intelligence in Tax Evasion Enforcement
(Towards a Principled Framework for Artificial Intelligence in Tax Evasion Enforcement)
- Author(s):Giorgio Antonio Autuori
- Language:English
- Subject(s):Social Sciences
- Page Range:23-31
- No. of Pages:10
- Summary/Abstract:Modern State economies face mounting fiscal instability, with tax evasion emerging as a critical destabilizing force. Persistent non-compliance stems largely from reliance on enforcement mechanisms conceived for fundamentally different socioeconomic landscapes, rendering them ill-suited to contemporary fiscal architectures. Artificial intelligence offers a transformative intervention: integrating AI into tax administration procedures could address these structural deficiencies by enhancing both the speed and precision of compliance oversight. However, this technological transition demands careful normative scaffolding. Without a robust and comprehensive legal framework governing AI deployment, implementation risks undermine the very fundamental rights these systems purport to protect. Therefore, any serious adoption strategy must prioritize establishing clear regulatory guardrails that balance innovation’s efficiency benefits against constitutional safeguards, ensuring that modernization strengthens rather than compromises the fundamental principles governing State-taxpayer relationships.
Audit Opinion Prediction Using the Decision Tree Algorithm
Audit Opinion Prediction Using the Decision Tree Algorithm
(Audit Opinion Prediction Using the Decision Tree Algorithm)
- Author(s):Amra Gadžo, Mirza Suljić, Erna Heric
- Language:English
- Subject(s):Social Sciences
- Page Range:33-41
- No. of Pages:10
- Keywords:Audit opinion; Decision tree; Prediction
- Summary/Abstract:This paper presents a data mining approach for Audit opinion prediction in Government-owned enterprises within the Federation of Bosnia and Herzegovina using the Decision tree algorithm. A database was constructed from financial statements covering 2004-2019, incorporating indicators from balance sheets, income statements, and cash flow statements, alongside corresponding Audit opinions from the state audit body. The study evaluates three Decision tree algorithms (J48, RandomTree, REPTree) on data from 2020-2023, with REPTree achieving 73% classification accuracy through seven predictive rules. The findings demonstrate the potential of data mining techniques for pattern recognition in audit reports, contributing to transparency in financial reporting and supporting regulatory authorities in detecting irregularities within Government-owned enterprises.
The Integration of Artificial Intelligence in Economic Modelling: A Comparative Study of Traditional and AI-Based Forecasting
The Integration of Artificial Intelligence in Economic Modelling: A Comparative Study of Traditional and AI-Based Forecasting
(The Integration of Artificial Intelligence in Economic Modelling: A Comparative Study of Traditional and AI-Based Forecasting)
- Author(s):Jasna Teofilovska
- Language:English
- Subject(s):Social Sciences
- Page Range:43-51
- No. of Pages:10
- Keywords:Artificial Intelligence; Economic modelling; Forecasting accuracy; Machine learning; Hybrid models; Economic policy
- Summary/Abstract:Economic forecasting has traditionally relied on econometric and time-series models such as ARIMA, VAR, and DSGE, which offer interpretability and theoretical grounding but face limitations in capturing nonlinear dynamics, structural breaks, and the increasing volatility of modern economies. Recent advances in artificial intelligence (AI), including machine learning, deep learning, and hybrid techniques, have introduced new possibilities for improving predictive performance and adaptability. This study presents a comparative analysis of traditional econometric models and AI-based forecasting approaches neural networks, ensemble learning, and reinforcement algorithms, evaluating their predictive accuracy, robustness to economic shocks, and applicability across key macroeconomic indicators. Using historical data from advanced and emerging economies, model performance is assessed through RMSE, MAE, and Theil’s U. The findings show that AI-driven models outperform conventional methods in capturing nonlinearities and responding to high-frequency shocks, especially during periods of economic uncertainty. Nevertheless, challenges related to interpretability, data demands, and overfitting persist. The study concludes that hybrid models combining structural interpretability with adaptive learning capabilities offer a promising direction for improving forecasting accuracy and enhancing the practical value of economic policy analysis.
From Support to Autonomy: Examining the Role of AI in Managerial Decision Processes
From Support to Autonomy: Examining the Role of AI in Managerial Decision Processes
(From Support to Autonomy: Examining the Role of AI in Managerial Decision Processes)
- Author(s):Emir Mašić
- Language:English
- Subject(s):Social Sciences
- Page Range:53-67
- No. of Pages:15
- Keywords:Artificial Intelligence; Managerial Decision Making; AI autonomy; Bosnia and Herzegovina
- Summary/Abstract:This study examines the integration of artificial intelligence (AI) into managerial decision making processes within organizations in Bosnia and Herzegovina. Through a qualitative analysis of interviews conducted with managers across various sectors and in various positions, the research reveals a gap between global AI autonomy frameworks and local practices. AI adoption remains predominantly at the operational level, primarily through individual use of Large Language Models (LLMs) as productivity tools rather than organizational decision makers. Human managers maintain control, usually relying on intuition and personal verification to validate AI output. Key findings highlight the irreplaceable role of human oversight even in the AI age and regional barriers such as cultural resistance. The study concludes that the transition from AI assisted support to genuine autonomy remains distant, emphasizing the continued importance of human judgment and adaptive leadership in the age of AI.
Analysis of AI Tool Usage and Work Engagement Among Generations X, Y and Z of Women in Slovenia
Analysis of AI Tool Usage and Work Engagement Among Generations X, Y and Z of Women in Slovenia
(Analysis of AI Tool Usage and Work Engagement Among Generations X, Y and Z of Women in Slovenia)
- Author(s):Anton Vorina, Andrej Raspor, Vid Vorina, Svit Vorina, Tina Vorina
- Language:English
- Subject(s):Social Sciences
- Page Range:69-75
- No. of Pages:8
- Keywords:Artificial Intelligence; Work Engagement; Generational Differences. Woman
- Summary/Abstract:In the future, where artificial intelligence (AI) becomes an integral part of work environments, employee engagement faces complex challenges and opportunities. Research indicates that AI can both enhance and undermine engagement, depending on its implementation. The purpose of this study was to examine the use of AI tools (ChatGPT, Gemini, Copilot) and general work engagement among Generations X, Y, and Z. The sample included 311 women from various educational and professional sectors. The results showed that the use of ChatGPT significantly differs between generations, with Generation Y using it considerably less (35.5%) than Generations X (53.8%) and Z (50.0%). On the other hand, Gemini and Copilot had a very low adoption rate across all generations (8.4% and 9.0%, respectively), with no statistically significant differences. Significant differences were also found in work engagement, with Generation X reporting the highest levels (M = 35.93), followed by Generation Y (M = 33.87), and Generation Z the lowest (M = 31.28). These results indicate an uneven spread of AI tools and varying levels of work engagement, highlighting the need for tailored strategies to encourage AI use and improve engagement, especially among younger generations.
Beyond the Hype: Why Marketers Embrace Skills but Question AI’s Intelligence
Beyond the Hype: Why Marketers Embrace Skills but Question AI’s Intelligence
(Beyond the Hype: Why Marketers Embrace Skills but Question AI’s Intelligence)
- Author(s):Marija Meshkova, Ilijana Petrovska
- Language:English
- Subject(s):Social Sciences
- Page Range:77-85
- No. of Pages:10
- Keywords:Artificial Intelligence; Content creation; Digital marketing; Practitioner perceptions; Emerging markets; AI adoption; Human-AI collaboration; Technology acceptance
- Summary/Abstract:Artificial Intelligence (AI) has significantly influenced marketing in reshaping content creation, personalization, and customer engagement worldwide. There is ongoing discussion on whether AI can demonstrate “intelligence” or is limited to automation and data-driven efficiency without being able to mimic human creativity and judgment. Therefore, this study examines how North Macedonian marketers perceive, apply and adopt artificial intelligence in their businesses. The findings from qualitative interviews reveal two distinct narratives. On the one hand, marketers are keen to pick up new skills and understand how AI may boost output, refine customer insights, and provide a competitive advantage. However, they also raise concerns about the costs of integration and implementation, as well as AI’s ability to replicate human intelligence. By moving “beyond the hype” this paper contributes practitioner-based evidence from an emerging economy, offering a nuanced viewpoint on how marketers strike a balance between hope and fear when implementing AI.
AI-Enhanced Early Warning Systems Under the EU Digital Markets Act: Automated Detection of Consumer-Reported Platform Violations
AI-Enhanced Early Warning Systems Under the EU Digital Markets Act: Automated Detection of Consumer-Reported Platform Violations
(AI-Enhanced Early Warning Systems Under the EU Digital Markets Act: Automated Detection of Consumer-Reported Platform Violations)
- Author(s):Olusola Shedrack Agbebiyi
- Language:English
- Subject(s):Social Sciences
- Page Range:87-91
- No. of Pages:6
- Keywords:Digital Markets Act; Machine learning; Consumer intelligence; Platform regulation; Automated compliance
- Summary/Abstract:This paper presents an AI enhanced early warning framework for monitoring compliance under the European Union’s Digital Markets Act (DMA). A fine tuned BERT model classifies consumer discussions into Article 6 violation types (self preferencing, bundling, discrimination, interoperability restriction) and combines results with community level statistical validation. On Reddit data (n = 82; 2020–2025), the classifier achieved 86.2% accuracy and macro F1 = 0.84; community validation averaged 0.86 with Z = 2.99 (p < 0.01). Projected operational costs decrease by ~90% relative to manual monitoring. The framework provides a reproducible, low cost pipeline for proactive DMA surveillance aligned with Articles 5, 6, 19, and 20 and supports prioritization of investigations through confidence weighted alerts.
Smarter, Less Loved: The Paradox of ChatGPT’s Perceptual Evolution (2022–2025)
Smarter, Less Loved: The Paradox of ChatGPT’s Perceptual Evolution (2022–2025)
(Smarter, Less Loved: The Paradox of ChatGPT’s Perceptual Evolution (2022–2025))
- Author(s):Muselet Jeremie, Annabel Martin-Salerno
- Language:English
- Subject(s):Social Sciences
- Page Range:93-101
- No. of Pages:10
- Keywords:ChatGPT; User experience; Conversational artificial intelligence; Technological trust; Perceived control; Emotional interaction
- Summary/Abstract:The adoption of conversational artificial intelligence does not depend solely on its technical performance but also integrates complex relational dimensions that shape the overall user experience. This study examines the evolving perception of ChatGPT across its four successive versions (GPT-3.5, 4, 4.5, and 5), analyzing how improvements in comprehension and contextualization interact with functional, emotional, trust-related, autonomy, and perceived control dimensions of experience. The longitudinal analysis draws on more than 20,000 YouTube user comments collected between November 2022 and August 2025, enriched by media and academic sources. Results obtained through an NLP methodology reveal a growing dissociation between functional quality and user satisfaction. While contextual understanding objectively improves (reduced hallucinations, ability to process long texts up to 25,000 words, enhanced performance in mathematics and programming), the proportion of satisfied users paradoxically declines. This downward trajectory can be explained by the differentiated evolution of experiential dimensions. GPT-3.5 generated initial enthusiasm despite its limitations, with strong user control and cautious trust. GPT-4.0 consolidated technical performance while initiating emotional distance, as users expressed concerns about AI’s growing autonomy. GPT-4.5 emphasized relational empathy, temporarily reinforcing trust through better adaptation to user tone and intent, but generating frustration regarding fine-grained interaction control. GPT-5.0, despite its technical power and dynamic routing system, crystallizes a relational crisis, being perceived as colder and less personal, and amplifying the sense of lost control. The study highlights that increasing technical sophistication can paradoxically degrade relational experience. It underscores a major challenge for AI development: users expect systems that are not only reliable and contextually relevant but also warm, controllable, and trustworthy. This research suggests that the future of language models will depend on their ability to strike these balances.
AI Opens Up Variability in Education
AI Opens Up Variability in Education
(AI Opens Up Variability in Education)
- Author(s):Milena JANÁKOVÁ
- Language:English
- Subject(s):Social Sciences
- Page Range:103-108
- No. of Pages:8
- Keywords:AI; Education; IT
- Summary/Abstract:The article is oriented on opportunities affecting the variability and quality of teaching in computer science subjects, focusing on databases and data warehouses. Artificial Intelligence (AI) is an accelerator of innovation from both the student and the teacher’s perspective. It is not just about copying assignments to prompts for AI, but about learning to work effectively with available tools and creating conditions for further development of skills and abilities. Simplification of information availability is evident in the design and creation of databases. Advanced knowledge is manifested in the understanding of the activities performed and critical thinking, which leads to the analysis and selection of appropriate solution options with regard to learning outcomes. Positive benefits are brought by interactive tools such as questionnaires, think-pair-share tasks, and live online questions. A significant moment was the mutual learning of students in discussion and the support of their business plans.
GenAI in Higher Education: A Literature Review in the ChatGPT Era
GenAI in Higher Education: A Literature Review in the ChatGPT Era
(GenAI in Higher Education: A Literature Review in the ChatGPT Era)
- Author(s):Nikolina Milošević, Jelena Spajić, Bojana Milić, Danijela Lalić
- Language:English
- Subject(s):Social Sciences
- Page Range:109-117
- No. of Pages:10
- Keywords:GenAI; ChatGPT; Higher education; Literature review
- Summary/Abstract:This paper offers a systematic literature review of current studies on GenAI in higher education, specifically emphasizing the ChatGPT era. The research synthesizes findings from a global context, showcasing the opportunities, challenges, and pathways for the responsible implementation of these technologies. The paper presents a comprehensive overview of global research on GenAI in higher education published between 2022 and 2025, collected from the Scopus database using specific keyword combinations. Through the systematic literature review, out of 312 identified papers, 54 highly significant studies were analyzed in detail. Therefore, this review offers a comprehensive perspective that is especially useful for universities operating within transitional educational systems.
Artificial Intelligence in Higher Education: What Has EU AI Act Brought?
Artificial Intelligence in Higher Education: What Has EU AI Act Brought?
(Artificial Intelligence in Higher Education: What Has EU AI Act Brought?)
- Author(s):Kristina Anđelić
- Language:English
- Subject(s):Social Sciences
- Page Range:119-125
- No. of Pages:8
- Keywords:AI; Higher education; EU AI Act
- Summary/Abstract:The development of AI teaching and learning tools has progressed, which has led to concerns about the impact on the education system. This paper focuses on the system of higher education in the context of AI deployment. AI development has outpaced the regulatory framework and opened the debate about far-reaching ethical, legal, and social challenges. While the universities have been engaged in designing curriculums to train the students for the AI working environment of tomorrow, there is a need to develop policies for the strategic inclusion of AI into the higher education system. This paper investigates the EU AI Act and how it regulated artificial intelligence in higher education. In the paper, the author analyses the system of higher education in Republic of Serbia with regard to EU regulations. The paper offers a view on what are the challenges when implementing rules for AI in the existing education regulation.
Caught Between Innovation and Integrity: Insights Into Students’ Perceptions of Generative AI Tools in an Institutional Context Lacking Formal AI Policies
Caught Between Innovation and Integrity:
Insights Into Students’ Perceptions of Generative AI Tools
in an Institutional Context Lacking Formal AI Policies
(Caught Between Innovation and Integrity:
Insights Into Students’ Perceptions of Generative AI Tools
in an Institutional Context Lacking Formal AI Policies)
- Author(s):Jasmina Okičić, Sabina Đonlagić Alibegović, Amila Pilav Velić
- Language:English
- Subject(s):Social Sciences
- Page Range:127-133
- No. of Pages:8
- Keywords:Generative AI; Higher education; Regulatory framework
- Summary/Abstract:Artificial intelligence is rapidly transforming higher education, continually oscillating between its innovative potential and concerns over academic integrity. While universities are expected to develop policies addressing ethical and pedagogical challenges, many institutions have yet to implement clear guidelines. To extract the dimensions of students’ perceptions of generative AI, the authors primarily used exploratory factor analysis. By using the exploratory factor analysis three key dimensions were revealed, i.e. 1) awareness and familiarity with AI tools, shaped both by personal exposure and institutional practices 2) institutional engagement and guidance, emphasizing the degree to which professors integrate AI in teaching and the demand for clearer instructions on its use and 3) concerns ranging from perceived risks of misuse and violations of academic integrity to recognition of AI’s educational value. These findings imply the urgent need for universities to establish transparent AI policies and provide guidance, ensuring that students can engage with AI tools ethically and effectively.
Generative AI in Scientific Publishing – Opportunities and Challenges
Generative AI in Scientific Publishing – Opportunities and Challenges
(Generative AI in Scientific Publishing – Opportunities and Challenges)
- Author(s):Aleksandra Bradić-Martinović
- Language:English
- Subject(s):Social Sciences
- Page Range:135-146
- No. of Pages:12
- Keywords:Generative AI; Scientific publishing; Scholarly communication; Ethical frameworks; Editorial policies
- Summary/Abstract:This paper examines how generative artificial intelligence (AI) is reshaping scientific publishing through its growing role in authoring, reviewing, and editorial workflows. It maps the current landscape of generative AI adoption, highlighting how large-scale language models and image-based systems assist researchers and editors in writing, translation, visualisation, and content management. The analysis identifies both opportunities, such as efficiency, inclusivity, and innovation, and challenges, including accuracy, accountability, bias, and uneven policy implementation. Ethical implications are addressed through international and national frameworks that emphasise transparency, human oversight, and provenance verification. By synthesising recent literature and publisher policies, this paper argues for the institutionalisation of ethics-in-practice as a foundation for trustworthy AI integration in scholarly communication.
Evaluating LLMs as Educational Co-authors: A Methodological Framework
Evaluating LLMs as Educational Co-authors: A Methodological Framework
(Evaluating LLMs as Educational Co-authors: A Methodological Framework)
- Author(s):Bruno Polonijo, Sabrina Suman, Tomislav Car
- Language:English
- Subject(s):Social Sciences
- Page Range:147-155
- No. of Pages:10
- Keywords:Methodological framework; Evaluation; LLMs; Educational; Co-authors; AI; Prompt engineering
- Summary/Abstract:This paper introduces and applies a novel methodological framework for the comprehensive evaluation of Large Language Models (LLMs) as educational co-authors. The purpose of this work is to address the lack of structured, reproducible processes for assessing the quality and practical utility of AI-generated educational content. A controlled experiment was conducted in which a standardised task was assigned to several leading LLMs. The effectiveness and quality of each model were evaluated within a newly developed framework that measures both the final product quality and the “refinement effort” required. The results reveal a non-linear evolution in model capabilities, highlighting persistent shortcomings in complex reasoning. The findings emphasize the importance of a holistic evaluation that considers both the final output and the efficiency of the collaborative process, offering a practical tool for educators and researchers.
The Win-Code Predictive System: AI Grant Mentorship for Real-Time Evaluation and Enhanced Funding Success in Higher Education
The Win-Code Predictive System: AI Grant Mentorship for Real-Time Evaluation and Enhanced Funding Success in Higher Education
(The Win-Code Predictive System: AI Grant Mentorship for Real-Time Evaluation and Enhanced Funding Success in Higher Education)
- Author(s):Sanja Todosijević, Igor Razbornik, Saša Jovanović
- Language:English
- Subject(s):Social Sciences
- Page Range:157-164
- No. of Pages:8
- Keywords:AI mentorship; Project development; Predictive system; Project evaluation; Higher education; Win-Code
- Summary/Abstract:Institutions in higher education (HE) face systemic barriers to securing competitive research funding (e.g., Horizon Europe and Erasmus+), driven by fragmented systems and a critical AI alignment gap that neglects strategic grant evaluation. This paper introduces the Win-Code Predictive System, the first comprehensive AI mentorship framework designed to address these failures. Win-Code reframes AI as a strategic mentorship partner, guiding research teams through an evaluation-aligned 26-step methodology. The architecture, which includes the SCORE™ predictive quality assurance engine, ensures proposal content aligns with funder criteria. A three-year validation study on Erasmus+ proposals demonstrated significant efficacy, reducing proposal development time from a 30-day baseline to just four days (an 85% saving). Users achieved a first-submission acceptance rate more than double the EU average of 26%, maintaining a 61% success rate by 2025 in a hyper-competitive environment. Win-Code offers a replicable blueprint for institutional innovation, positioning the university as an AI-Powered Project Hub.
Modernizing Albanian Education Through AI: Enhancing Learning and Teaching
Modernizing Albanian Education Through AI: Enhancing Learning and Teaching
(Modernizing Albanian Education Through AI: Enhancing Learning and Teaching)
- Author(s):Ernaso Kerbizi
- Language:English
- Subject(s):Social Sciences
- Page Range:165-170
- No. of Pages:6
- Keywords:Artificial Intelligence (AI); Albanian education; Technology in education; Personalized learning; Interactive; Student engagement; Enhancing teaching
- Summary/Abstract:The traditional education system in Albania has often been rigid and stressful, leaving many students unmotivated and disengaged. In recent years, however, reforms have aimed to modernize learning through teacher training, curriculum updates, and the integration of technology and innovation. The implementation of technology is already reshaping Albanian education, creating new opportunities for both students and teachers. This paper examines the role of artificial intelligence (AI) in Albanian education. Although still in its early stages, AI is helping students through personalized tutoring, interactive tools, and content that simplifies complex topics, while supporting teachers in lesson planning, assessment, and the creation of customized learning materials. At the same time, careful implementation is essential. Without proper preparation, infrastructure, and attention to privacy and reliability, AI could introduce new problems. Addressing these challenges is key to ensuring AI becomes a meaningful and sustainable tool for improving education in Albania.
Implementation of AI Tools and Environments in the Learning Process
Implementation of AI Tools and Environments in the Learning Process
(Implementation of AI Tools and Environments in the Learning Process)
- Author(s):Petya Byalmarkova, Pavel Petrov
- Language:English
- Subject(s):Social Sciences
- Page Range:171-179
- No. of Pages:10
- Keywords:AI tools; Learning environments; Learning experience; Modern forms and methods; Personalization; Transformation of education
- Summary/Abstract:This paper explores the potential application of artificial intelligence (AI) tools and the capabilities of online environments to create fully functional applications tailored to educational needs. It not only describes the methods of use and implementation but also some of the techniques and approaches used in developing educational content. Online systems and integrated AI tools provide a comprehensive and qualitative learning process, stimulating activity and enhancing learners’ interest in creating and utilizing learning resources (with all their specificities), with the primary goal of developing and enriching the learning experience and transferring knowledge into practical settings. At the same time, learners ensure content quality and support the learning process by complementing and developing certain approaches and activities, leading to modern forms and methods for problem-solving. In addition to current realities, the integration of AI tools and functionalities into environments helps enhance personalization, automate activities, improve accessibility, and optimize processes, ultimately leading to the transformation of education.
Smart Vision on Integrating AI Into Distance Learning
Smart Vision on Integrating AI Into Distance Learning
(Smart Vision on Integrating AI Into Distance Learning)
- Author(s):Mădălina Albu
- Language:English
- Subject(s):Social Sciences
- Page Range:181-189
- No. of Pages:10
- Keywords:Artificial Intelligence; Distance education; SMART
- Summary/Abstract:In order to optimize teaching and learning methods, universities and faculties that have adopted distance and part-time education have as a priority the integration of the objectives regarding the improvement of the educational process into the organization’s strategy. Both teachers and students are becoming increasingly familiar with what AI represents and develops in terms of the educational process, and acquiring skills in this area is a priority. In order to establish an opinion, the author conducted a questionnaire, based on which the students and teachers interviewed emphasized that technology is part of university life and can bring significant benefits to both students and teachers. This paper aims to clarify the contribution that the use of AI in the teaching and learning process can have at the level of distance and part-time higher education, so that the most appropriate ways of use can be defined and their future exploitation can be achieved.
Chat GPT Study Mode in Interactive Learning
Chat GPT Study Mode in Interactive Learning
(Chat GPT Study Mode in Interactive Learning)
- Author(s):Panka Lazarova, Ivan Dimitrov, Vera Shopova
- Language:English
- Subject(s):Social Sciences
- Page Range:191-199
- No. of Pages:10
- Keywords:Chat-GPT Study mode; Interactive learning in secondary school; Interland - Be Internet Awesome game
- Summary/Abstract:This paper proposes the integration of the Chat-GPT Study mode into the Information Technology classroom by covering the methods of experiment, observation and demonstration. The authors describe a methodological approach that uses an artificial intelligence application to implement an interactive lesson on “Internet Safety” and master basic knowledge on the topic in secondary school, through the Interland - Be Internet Awesome game.
Artificial Intelligence and Creative Writing in Primary Education: Expanding Rodari‘s Fantasy Binomial Method
Artificial Intelligence and Creative Writing in Primary Education: Expanding Rodari‘s Fantasy Binomial Method
(Artificial Intelligence and Creative Writing in Primary Education: Expanding Rodari‘s Fantasy Binomial Method)
- Author(s):Mariya Aleksieva, Irina Mishkova-Yotova, Margarita Peneva
- Language:English
- Subject(s):Social Sciences
- Page Range:201-206
- No. of Pages:6
- Keywords:Artificial intelligence (AI); Creative writing; Fantasy binomial; Gianni Rodari; Primary education; ChatGPT; DALL·E; Digital literacy
- Summary/Abstract:This article explores the expanded integration of artificial intelligence (AI) into primary education through the lens of creative writing using Gianni Rodari’s „fantasy binomial“ method. Building upon previously implemented pedagogical practices, the study presents a refined methodology where AI tools such as ChatGPT and DALL·E are used not only for text generation but also for visual storytelling. The research incorporates data from two second-grade classes and one third-grade class, utilizing surveys and structured observation to evaluate the impact of AI-assisted storytelling on students’ creativity, language development, teamwork, and digital literacy. Results indicate that AI tools stimulate imagination, foster engagement, and support inclusive and differentiated learning. Ethical considerations, particularly regarding authorship and critical thinking, are also addressed. The findings support the notion that AI, when thoughtfully applied, can be a powerful educational ally in nurturing creative potential from an early age.
Smarter Business ESP with Generative AI: From Generic Role Plays to Case Based, Domain Authentic Lesson Design
Smarter Business ESP with Generative AI: From Generic Role Plays to Case Based, Domain Authentic Lesson Design
(Smarter Business ESP with Generative AI: From Generic Role Plays to Case Based, Domain Authentic Lesson Design)
- Author(s):Iulia Nicoleta Rascanu
- Language:English
- Subject(s):Social Sciences
- Page Range:207-216
- No. of Pages:10
- Keywords:Business English for Specific Purposes; Generative AI; Lesson design
- Summary/Abstract:This paper examines how generative artificial intelligence (GenAI), particularly large language models (LLMs) such as ChatGPT can support lesson planning and activity design in Business English for Specific Purposes (Business ESP). Based on classroom implementations with cycles of 100 undergraduate business learners, I report mixed outcomes: AI generated role plays accelerated preparation and sometimes boosted engagement, yet frequently lacked domain authentic constraints and situational detail (e.g., stakeholders, metrics, risk, and policy). Synthesizing recent research (2023–2025) on GenAI in language education and Business ESP, I identify three recurrent failure modes—genericity, instructional opacity, and domain slips and propose a three layer design framework that combines (1) structured prompt engineering for specificity, (2) teacher authored case scaffolds with verifiable data, and (3) targeted use of complementary AI tools (adaptive feedback, corpus assisted term mining, multimodal simulation). Business focused lesson vignettes illustrate how the framework transforms “thin” role plays into realistic scenarios (procurement negotiation with conflicting KPIs; stakeholder email chains; crisis briefings with media Q&A). An evaluation protocol and rubrics (authenticity, clarity, complexity, ethics, evidence backing) are provided, with responsible use guidance aligned with UNESCO’s 2023 recommendations and the EU AI Act’s AI literacy obligations. Findings support the view that GenAI augments but does not replace pedagogical expertise; its value depends on careful integration and ongoing validity checks for accuracy, fairness, and academic integrity.
Found in Translation: The Role of Prompt Language in Creative LLM Outputs
Found in Translation: The Role of Prompt Language in Creative LLM Outputs
(Found in Translation: The Role of Prompt Language in Creative LLM Outputs)
- Author(s):Dragana Zundanović, Dragana Božić Lenard, Krešimir Romić, Hrvoje Leventić
- Language:English
- Subject(s):Social Sciences
- Page Range:217-228
- No. of Pages:12
- Keywords:Prompt engineering; Image generation; Low-resource languages
- Summary/Abstract:Artificial intelligence (AI) has rapidly become indispensable, with applications spanning natural language processing, image generation, and content creation. While large language models (LLMs) primarily process text in English as the global lingua franca, most of the world’s population communicates in other languages, raising questions about the role of low-resource languages in prompt engineering. This paper examines whether the choice of input language—English, Croatian, or a hybrid of both—affects prompt quality and creativity in downstream tasks. Croatian, with its limited digital resources and smaller speaker base, was selected as a case study. A dataset of 100 articles from a Croatian agricultural news portal was used to generate Midjourney prompts via GPT-4o under three language conditions. The prompts and resulting images were analyzed for creativity, semantic consistency, and output quality. Findings reveal subtle but meaningful differences, suggesting that linguistic variation can influence AI-driven creativity. The study underscores the importance of evaluating low-resource languages in multimodal AI systems.
Photoshop vs. AI: Complementary Tools or Competition in the Creative Process?
Photoshop vs. AI: Complementary Tools or Competition in the Creative Process?
(Photoshop vs. AI: Complementary Tools or Competition in the Creative Process?)
- Author(s):Krunoslav Bedi, Suzana Stojaković -Čelustka
- Language:English
- Subject(s):Social Sciences
- Page Range:229-235
- No. of Pages:8
- Keywords:Photoshop; AI tools; Creativity; Web designer; Media technician
- Summary/Abstract:In an era where artificial intelligence is entering every corner of creative expression, classic tools like Photoshop are facing new challenges. This paper explores the perceptions of 24 high school students, divided into web designers and media technicians, about the use of Photoshop and generative AI tools in the creative process. The results show that AI encourages rapid innovation and creative freedom, while Photoshop enables precise control and professional execution. Students recognize the synergy of the tools, but also their limitations, which opens up space for redefining the creative process in the digital age. The paper provides insight into the technical and artistic aspects and lays the foundation for a discussion about the future of creativity in education and professional design. A survey with a Likert scale (1–5) was used to measure students’ perceptions of: control over details, creativity, speed and efficiency, complementarity and competition of tools, motivation and satisfaction. To better understand the differences between the two groups of students — web designers and media technicians —their responses were analyzed using various statistical methods. The results of quantitative and qualitative analysis are presented in this paper.
Data-Driven Approaches and Artificial Intelligence Applications in Security Research: Methodological Innovations and Future Perspectives
Data-Driven Approaches and Artificial Intelligence Applications in Security Research: Methodological Innovations and Future Perspectives
(Data-Driven Approaches and Artificial Intelligence Applications in Security Research: Methodological Innovations and Future Perspectives)
- Author(s):Daniel Remai
- Language:English
- Subject(s):Social Sciences
- Page Range:237-245
- No. of Pages:10
- Keywords:Data-driven security research; Open-source databases; Large language models (LLMs); Data visualization; Data-literacy
- Summary/Abstract:Data-driven methodologies and artificial intelligence are reshaping security research by enabling systematic, large-scale analysis of complex threat environments. Quantitative event data combined with statistical and network-based approaches allow for the identification of temporal and structural patterns in violent activity while remaining sensitive to definitional and reporting limitations. Advances in natural language processing, particularly large language models (LLMs), support thematic text mining, concept identification, and trend detection across extensive textual corpora, with human validation ensuring analytical reliability. Visualization techniques such as timelines, geospatial representations, and interactive dashboards enhance interpretability and communication of findings. Emerging directions include multimodal data fusion integrating textual, visual, and numerical sources, and predictive analytics aimed at early warning under conditions of uncertainty. Ethical and governance considerations, bias, privacy, transparency, and adversarial manipulation remain central to responsible research, reinforcing the importance of reproducibility, openness, and methodological rigor in contemporary security studies
Meta AI About Trump- AI and It’s Ability to Recognize and Interpret Metonymy
Meta AI About Trump- AI and It’s Ability to Recognize and Interpret Metonymy
(Meta AI About Trump- AI and It’s Ability to Recognize and Interpret Metonymy)
- Author(s):Suzana Jurin
- Language:English
- Subject(s):Social Sciences
- Page Range:247-254
- No. of Pages:8
- Keywords:Meta AI; Metonymy; Cognitive theory of metonymy; Political texts
- Summary/Abstract:This paper investigates whether Meta AI is able to identify, analyze, and interpret metonymy found in political texts about the Trump administration published in The Guardian in the period 1.7.- 5.7.2025. It also considers whether Meta AI possesses the capacity to analyse creative political texts that reflect the conventional style of The Guardian’s political discourse. This study suggests that Meta AI holds significant potential as a tool for linguistic analysis. Nonetheless, it requires targeted adaptations in order to fully address the complexities of metonymies in language within specific contexts.
The Difficulties of Investigating Crimes Committed in Virtual Space
The Difficulties of Investigating Crimes Committed in Virtual Space
(The Difficulties of Investigating Crimes Committed in Virtual Space)
- Author(s):Csongor Herke, Dávid Tóth
- Language:English
- Subject(s):Social Sciences
- Page Range:255-264
- No. of Pages:10
- Summary/Abstract:The rise of immersive digital environments such as online games, social platforms, and virtual worlds has created new arenas for human interaction – and new opportunities for criminal behavior. This paper examines the specific challenges associated with investigating crimes that occur entirely within virtual space. These may include virtual theft (e.g., stealing high-value in-game items), online defamation, extortion, harassment, or impersonation, all of which take place through avatars or digital personas. A core difficulty lies in defining the legal relevance and ownership of virtual objects, identifying perpetrators hidden behind pseudonyms or avatars, and addressing jurisdictional uncertainty in decentralized, globally accessible environments. The talk highlights procedural, technical, and conceptual obstacles, including the lack of consistent legal frameworks and the ambiguous status of harm in digital-only contexts. By analyzing case examples and legal responses from different jurisdictions, the paper calls for the development of adaptive investigative techniques and coherent policies to ensure accountability in the virtual sphere.
Social Bonds as Drivers of Sustainable and Inclusive Growth
Social Bonds as Drivers of Sustainable and Inclusive Growth
(Social Bonds as Drivers of Sustainable and Inclusive Growth)
- Author(s):Bojana Olgić Draženović, Stella Suljic Nikolaj, Teodora Raguž
- Language:English
- Subject(s):Social Sciences
- Page Range:265-272
- No. of Pages:8
- Keywords:Social bonds; Sustainable finance; ESG; EU regulation; Inclusive growth
- Summary/Abstract:This article analyses the development, regulatory framework and perspectives of social bonds as innovative instruments of sustainable financing. Social bonds are used to channel capital into projects with clearly defined social benefits, such as job creation, affordable housing, healthcare and education. Their growth reflects the increasing alignment of financial markets with environmental, social and governance (ESG) principles while addressing pressing societal challenges. The discussion emphasises the role of international standards and the European regulatory framework in ensuring transparency, accountability and measurable results. In that context, digitalisation and new tools such as artificial intelligence can improve monitoring and impact reporting, strengthening investor confidence. By analysing their contribution to mobilising resources for socially inclusive projects, the paper highlights how social bonds support both financial returns and long-term social value creation.
Localtourism.it: For a New Corporate Humanism
Localtourism.it: For a New Corporate Humanism
(Localtourism.it: For a New Corporate Humanism)
- Author(s):Giuseppe Gaballo
- Language:English
- Subject(s):Social Sciences
- Page Range:273-281
- No. of Pages:10
- Summary/Abstract:International policymakers have been urging businesses to become more economically, socially, and culturally responsible, acting in line with the principles of corporate citizenship. Despite serving as an excellent showcase and instrument of external and self-regulation, sustainability reports and quality certifications do not adequately reflect the radical transformation that the economic sphere is quietly undergoing. Artificial intelligence (AI) is gradually gaining ground in various production sectors, raising concerns about its social, cultural, and human implications. This paper presents a participatory study of an innovative business network based in Foggia, a politically and socially peripheral area of southern Italy. This network is promoting an economic model that, through digitalization and AI, is closely interconnected with, and dependent on, the sociocultural development of its community of origin.
Travel Decision-Making in the Age of AI – Opportunities and Challenges
Travel Decision-Making in the Age of AI – Opportunities and Challenges
(Travel Decision-Making in the Age of AI – Opportunities and Challenges)
- Author(s):Gabor Kulbert
- Language:English
- Subject(s):Social Sciences
- Page Range:283-291
- No. of Pages:10
- Summary/Abstract:Travel planning has undergone significant transformations over the past decades due to the advancement of information technologies. Traditional, in-person travel agency services have gradually been replaced by online platforms, enabling users to independently compare offers and organize their trips. In recent years, however, a new paradigm shift has emerged: the integration of artificial intelligence (AI) into the preparation and optimization of the travel experience. In the research, four freely accessible artificial intelligence programs and a focus group of four members were asked the same questions. Based on the results, it can be stated that although all respondents answered the questions correctly, the focus of decisions made by humans and artificial intelligence programs diverged significantly. While AI programs approached each question as a “blank slate,” humans often possessed secondary, decision-influencing information about many cities and tourist destinations, acquired mainly from acquaintances’ stories, movies, or social media.
Application of Artificial Intelligence in Tourism University Education Process
Application of Artificial Intelligence in Tourism University Education Process
(Application of Artificial Intelligence in Tourism University Education Process)
- Author(s):Vasya Yaneva, Maria Vodenska
- Language:English
- Subject(s):Social Sciences
- Page Range:293-301
- No. of Pages:10
- Keywords:Artificial Intelligence; Tour guiding; Higher education
- Summary/Abstract:Artificial intelligence (AI) is becoming increasingly important in the planning, communication and service delivery processes in the tourism sector, including tour guiding. The paper explores the potential of using artificial intelligence in the development of thematic routes within the context of tourism education at Sofia University. A specific case study is presented. The emphasis is placed on the application of ChatGPT as a tool for tourist routes generation, tour texts creation, itinerary planning, and research support. The consecutive steps undertaken by the students and their mentor in applying this particular AI tool in the education process as well as the final result representing a real guided tour, are being traced. The advantages and the challenges of integrating AI into the educational process are outlined. The conclusions made highlight the importance of critical literacy and a creative approach in applying technological tools in the training of future tourism professionals.
Legal Responsibility of Artificial Intelligence?
Legal Responsibility of Artificial Intelligence?
(Legal Responsibility of Artificial Intelligence?)
- Author(s):Dragi Rashkovski, Veronika Rashkovska
- Language:English
- Subject(s):Social Sciences
- Page Range:303-312
- No. of Pages:10
- Keywords:Artificial Intelligence; Legal responsibility; Legal subjectivity
- Summary/Abstract:Artificial intelligence, in the way it has entered the social life of people, is starting to create legal situations that are not yet legally resolved. There is no doubt that the development of artificial intelligence, even the one that is visible to the ordinary user, has led to it being able to make “autonomous decisions” for many of the activities it undertakes. This is not pre-programmed, but is part of independent decision-making and “feeling” based on “experience”. The law, and thus society, has as its ultimate goal the sanctioning of socially harmful activities. Therefore, we rightly impose the thesis that it is necessary to sanction the “behavior” of artificial intelligence. Formally and legally, sanctions can be imposed only if they are previously provided for in legal or by-laws for milder sanctions. The very fact that artificial intelligence is not represented as a separate identity in any legal act, and cannot be fully integrated into the two existing ones (legal and natural persons) imposes the thesis, but also the need for it to be legally regulated. Many people, as well as businesses, base their decisions on predictions or advice provided by artificial intelligence. Many of these are paid services, i.e. services based on artificial intelligence platforms that are charged. This leads to the legal and logical conclusion that a formal legal relationship has been established between the user and the artificial intelligence platform, from which rights and obligations arise. In this paper, we will delve into the details of the End User License agreement of several of the better-known and most widely used artificial intelligence platforms to discover whether there are hidden provisions in that agreement that “exempt” artificial intelligence from liability, to what extent, and we will provide guidance on how all of this could change in the direction of protecting the interests of individuals. Artificial intelligence will certainly not disappear from our lives. It is not here temporarily, It can progress with its presence, but not retreat. It is a similar process of industrialization, electrification, and the like that history knows in its infancy, and we as the next generations experience it as normality. The same fate will follow artificial intelligence. We will witness its birth, future generations will experience it as everyday life and necessity. Although it may be a weak method, for now the law is the only one that can fight for some kind of control over it, not to control it in its development, but for the sake of protecting the interests of the individual who must not be left alone.
Transforming Legal Systems Through AI: Between Technological Innovation and Human Rights Safeguards
Transforming Legal Systems Through AI: Between Technological Innovation and Human Rights Safeguards
(Transforming Legal Systems Through AI: Between Technological Innovation and Human Rights Safeguards)
- Author(s):Mihai Ştefănoaia
- Language:English
- Subject(s):Social Sciences
- Page Range:313-324
- No. of Pages:12
- Keywords:Artificial Intelligence; Legal systems; Judicial decision-making; Human rights; Rule of law; Transparency; Accountability; Technological innovation
- Summary/Abstract:The integration of artificial intelligence (AI) into legal systems is increasingly reshaping the landscape of law, justice, and governance. Over the last decade, AI technologies have moved from experimental applications to real-world deployment in areas such as judicial decision-making, legal research, document review, case prediction, and court administration. These innovations promise to enhance efficiency, accuracy, and accessibility, offering tools that can support judges, lawyers, and policymakers in addressing the complexity and volume of contemporary legal challenges. By automating routine tasks, supporting predictive analytics, and facilitating data-driven insights, AI has the potential to streamline court procedures, reduce systemic backlogs, and ensure faster delivery of justice. Such benefits are particularly relevant in overburdened jurisdictions where delays undermine the right to a fair trial and weaken public confidence in the legal order. This paper critically examines the dual nature of AI’s impact on legal systems, highlighting both its transformative potential and the significant ethical and legal risks it entails. It argues that the adoption of AI in law cannot be approached merely as a technical innovation but must be framed as a governance challenge requiring normative safeguards. Effective frameworks must be rooted in principles of transparency, explainability, accountability, and robust human oversight. Moreover, the integration of AI into justice systems should be accompanied by impact assessments, continuous monitoring, and clear liability mechanisms to prevent rights violations and ensure compliance with international human rights standards. Ultimately, the study advocates for a balanced approach in which technological innovation coexists with strong legal and ethical safeguards. Rather than replacing human judgment, AI should serve as an assistive instrument that enhances judicial reasoning while preserving human dignity, autonomy, and equality before the law. By embedding AI within a principled governance architecture, societies can unlock its potential to contribute to smarter, fairer, and more trustworthy legal systems. This balanced vision, situated between innovation and rights protection, underscores the urgent need for interdisciplinary dialogue among legal scholars, technologists, ethicists, and policymakers in shaping the future of law in the age of AI.
Artificial Intelligence as a Tool for Efficient Implementation of the REACH Regulation in Serbia
Artificial Intelligence as a Tool for Efficient Implementation of the REACH Regulation in Serbia
(Artificial Intelligence as a Tool for Efficient Implementation of the REACH Regulation in Serbia)
- Author(s):Sanja M. Gligić
- Language:English
- Subject(s):Social Sciences
- Page Range:325-333
- No. of Pages:10
- Keywords:Artificial Intelligence; REACH Regulation; Serbia; Regulatory compliance; Sustainable development; Predictive toxicology; Environmental protection; European integration
- Summary/Abstract:The REACH Regulation has introduced a fundamental shift in chemical governance by transferring the burden of proof from regulators to industry (business entities). This approach requires producers and importers to provide comprehensive evidence of chemical safety before substances are allowed on the EU market. While EU Member States have developed strong institutional and technical capacities to manage REACH obligations, candidate countries such as Serbia face significant structural and resource limitations. Artificial intelligence, as a rapidly evolving technology, offers solutions that can help bridge these gaps. AI can process large datasets, support predictive toxicology, and automate compliance monitoring, thereby improving efficiency and reducing costs. This paper examines the specific challenges Serbia faces in implementing REACH and evaluates the potential role of AI as an enabling tool in this process.
Are There Artificial Intelligence Databases
Are There Artificial Intelligence Databases
(Are There Artificial Intelligence Databases)
- Author(s):Albena Dobreva
- Language:English
- Subject(s):Social Sciences
- Page Range:335-341
- No. of Pages:8
- Keywords:Databases; Artificial intelligence systems; Sui generis right; Directive 96/9/EC
- Summary/Abstract:Artificial intelligence systems have been the dominant technology in recent years, which has had an intensive impact on the relations regulated by intellectual property law. Databases, for their part, as a modern high-tech product of growing importance in the information society, enjoy legal protection under Directive 96/9/EC of 11 March 1996 on the legal protection of databases. They are the subject of intellectual property both in European Union law and in the law of the Member States. Proceeding from the definition in the Database Directive and the technical nature of the two phenomena, considering possible hypotheses and existing solutions, this study aims to answer the research question whether „AI databases“ can be protected subject matter under the two established protection regimes, namely, copyright and especially sui generis right. The two main forms of legal life - legal doctrine and judicial practice, together with the application of an interdisciplinary approach, serve to clarify the ‚legal protection - databases - AI‘ relationship in EU law. The analysis justifies the need for the expression „artificial intelligence databases“ used in legal literature to accurately reflect the characteristics of the protected object at the current historical moment.
AI as a Decision Support Tool in Prostate Cancer Diagnosis: A Literature Review and Trend Analysis
AI as a Decision Support Tool in Prostate Cancer Diagnosis:
A Literature Review and Trend Analysis
(AI as a Decision Support Tool in Prostate Cancer Diagnosis:
A Literature Review and Trend Analysis)
- Author(s):Santiago Salimbeni, Santiago Nicolet
- Language:English
- Subject(s):Social Sciences
- Page Range:343-351
- No. of Pages:10
- Keywords:AI; Prostate cancer; Diagnosis; Decision support tool
- Summary/Abstract:Advances in AI (AI) have greatly enhanced prostate cancer diagnosis (PCaD). This systematic review (2022–2025) evaluates recent developments, techniques, and the effectiveness of AI-based decision support tools. Convolutional neural networks and generative adversarial networks (GANs) are the most prevalent methods, applied to MRI image classification, lesion detection, segmentation, and image enhancement. These approaches improve lesion localisation, diagnostic precision, and consistency among radiologists and pathologists, while multi-modal systems help reduce unnecessary interventions. Despite progress, key challenges include data heterogeneity, limited model generalisability, and lack of interpretability. Future directions highlight AI-driven risk stratification, streamlined MRI protocols, and integrated imaging pathways. Overall, AI offers promising tools for earlier detection and more personalised, efficient, and patient-centred management of prostate cancer.
Voltage Stability Analysis in Power Distribution Networks for Connecting Renewable Energy Sources
Voltage Stability Analysis in Power Distribution Networks for Connecting Renewable Energy Sources
(Voltage Stability Analysis in Power Distribution Networks for Connecting Renewable Energy Sources)
- Author(s):Razvan Moise, Aurel Fratu
- Language:English
- Subject(s):Social Sciences
- Page Range:353-362
- No. of Pages:10
- Keywords:Voltage stability; Power distribution; Renewable sources; Bifurcation theory; Fuzzy
- Summary/Abstract:Voltage stability in the electrical distribution network is the ability of the electrical network to absorb voltage shocks and return to a state of equilibrium after voltage variations caused by the equipment in the grid or by external factors. A distribution system that loses its stability is a system that can no longer supply users and is consequently a system that will collapse. The collapse of an electrical energy distribution network occurs as a result of overloads at the consumption level, as a result of a major fault or insufficient reactive power in the system. The collapse can occur in a part of the electrical network or in the entire distribution network, depending on the parameters of the network and the nodes at the time of the unwanted event. The collapse of the system may begin with slight voltage drops in the network, but following a voltage variation which are of three kinds: fast, medium or slow. The voltages in the network nodes may suffer quick voltage drops that ultimately lead to the collapse of the system, or the system collapse may occur as a result of cascading unwanted events. This article analyses theoretical aspects regarding voltage stability in electrical networks and practical results of simulating the real parameters and behavior of an industrial park near Brașov in various states and power levels. The voltage stability for the nodes of a distribution network in the industrial park will be studied using appropriate calculation methods and programs, starting from the current situation where consumption is about 40% of the approved power and the distribution capacity of the connection cables and until reaching the maximum distribution capacity in both consumer and producer modes. The information resulting from the voltage stability analysis could be input data for a voltage regulator based on fuzzy theory to regulate the voltage and, in this way, could regulate the voltage online in the power grid.
