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Perspectives of artificial intelligence in judiciary: application in selected parts of civil proceedings
Mariia Sokolova, 2021, magistrsko delo

Opis: The master’s thesis is devoted to the issue of Artificial Intelligence (AI) perspectives in the judiciary, in particular, its application to selected parts of civil proceedings. AI affects virtually the future of every industry and every human being. The application of AI technologies in the legal industry is an issue of growing interest. In particular, attention is drawn to the judicial system due to the fact that, apart from its position of guarantor of justice in society enabling its members to enjoy their rights and freedoms granted by law, it is a service of its nature. Almost all leading jurisdictions apply AI systems in attempts to enhance the efficiency of the court proceedings. Without any doubts, AI already and successfully can imitate activities traditionally performed by humans in the courts: from vision, recognising and extracting information, whether from the document, picture or natural speech, to analysing of information received and predicting the outcomes or decision-making. However, it is hard to say that AI-era in the judiciary has already begun. There is no jurisdiction in the world in which AI is fully given ‘green light’- they are all at the beginning of the AI-journey. That is mostly due to the fact that the same technical specifications, which power achievements, accuracy and flexibility of AI, place serious limitations for the wide application thereof. First of all, AI systems rely on data, which can be biased or spoiled in another way initially or easily manipulated later. Secondly, AI systems are not transparent (black-box-problem) and, as a result, are incomprehensible. These two shortcomings place an obstacle for the correct realisation of some fundamental rights in civil proceedings in their traditional understanding, and consequently, for the wide deployment of AI systems therein. It is concluded that the application of AI in the judiciary, in general, and in the civil proceedings, in particular, is subject of sufficient limitations mostly due to incompliance of AI systems with the traditional understanding of fundamental rights and principles the civil proceedings stand on. In the pursuit of the effectiveness of judiciary by means of AI application, fundamental guarantees can appear at stake, and vice versa, in the pursuit of respect of fundamental rights, the judiciary may be left out of the modern world in the stage of complete inadequacy to the needs of the society, therefore, the issue is required extensive research in order to find a fair and right balance.
Ključne besede: artificial intelligence, judiciary, civil proceedings, AI-judge, efficiency of the judiciary, automatic decision-making
Objavljeno: 24.09.2021; Ogledov: 42; Prenosov: 8
.pdf Celotno besedilo (1,13 MB)

Proceedings of the 2021 7th Student Computer Science Research Conference (StuCoSReC)
2021, zbornik

Opis: The 7th Student Computer Science Research Conference is an answer to the fact that modern PhD and already Master level Computer Science programs foster early research activity among the students. The prime goal of the conference is to become a place for students to present their research work and hence further encourage students for an early research. Besides the conference also wants to establish an environment where students from different institutions meet, let know each other, exchange the ideas, and nonetheless make friends and research colleagues. At last but not least, the conference is also meant to be meeting place for students with senior researchers from institutions others than their own.
Ključne besede: student conference, computer and information science, artificial intelligence, data science, data mining
Objavljeno: 13.09.2021; Ogledov: 101; Prenosov: 11
.pdf Celotno besedilo (11,87 MB)
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Implementation of a new reporting process in a group x
Sara Črešnik, 2021, magistrsko delo

Opis: Reporting is present in every company. Whether it is small or big, it cannot be avoided. It plays a crucial role in the process and progress of business. The quality of reporting affects the development of the work environment and the company. Since business report is a document that contains business information, which supports the decisions about the future-oriented business decisions, it is very important for it to be designed in such a way that it contains the key information for the recipient and provides support for business decisions. The reporting process can take place horizontally upwards or downwards. Content and structure vary depending on the recipient of the report. We live in an age when our every step is accompanied by digitization, computerization, artificial intelligence, mass data, the Internet of Things, machine learning, and robotics. These changes have also affected the reporting process as well as its processes. The processes of data acquisition, processing and sharing have changed. Furthermore, the data quantity has increased, whereas the speed of the time in which to prepare the reports has decreased. We can have data without information, but we cannot have information without data. There is never enough time, especially nowadays when we are used to having everything at our fingertips. These are two conflicting factors – having more data and less time to prepare quality reports. The systems are developed to optimize the process, increase efficiency and quality and, what is nowadays most important, they have been created to obtain mass data in the shortest possible time. Therefore, it is important to adapt and implement software that can help achieve our daily tasks. We must know how to process huge amounts of real-time data and deliver the information they contain. It is crucial for companies to keep up with the environment and implement changes and innovations into their business process. A company is like a living organism for it must constantly evolve and grow. As soon as it stops growing and evolving, it can fail because it starts lagging and is therefore no longer competitive to others. To deliver faster feedback, companies need data of better quality. There are tools that can improve the business process, better facilitating the capacity of the human agents. The goal is to harness the employees’ full potential and knowledge for important tasks, such as analyzing, reviewing, and understanding data and acting upon them, invoking information technology to automate repetitive processes and facilitate better communication. The focus in this master’s thesis is on the reporting process in Group X. Group X is one of the world leaders in the automotive industry, a multinational corporation based in Canada with subsidiaries around the world. The complexity of the business reporting that is implemented for the Headquarters in Canada has to address the complexity of the multinational corporation to support the decision process. The aim of the thesis is to propose a reporting process for preparing and producing reports with a huge amount of data in a very time-efficient manner. We start by examining the existing processes and upon that, identifying the processes required for the reports to reach the final recipients. Our goal is to identify the toolset, which would increase efficiency, accuracy, credibility, and reduce errors in the fastest possible time. We investigate a short-term and a long-term solution. By a short-term solution, we mean a system, program, or a tool that can help us increase our potential by using digital resources, which are already existing in the organization. By a long-term solution, we mean a solution, which requires employment of specialized future tools in the field of reporting and in repetitive processes, which we can identify with current knowledge and expectations for development. This includes machine learning, robotic process automatization, artificial intelligence.
Ključne besede: Consolidated reporting, reporting process, robotic process automatization, business intelligence, artificial intelligence, machine learning, SharePoint, Big Data, digital transformation, electronic data interchange.
Objavljeno: 01.09.2021; Ogledov: 77; Prenosov: 3
.pdf Celotno besedilo (1,71 MB)

Analysis of the relationship between smart cities, policing and criminal investigation
Kaja Prislan, Boštjan Slak, 2018, izvirni znanstveni članek

Opis: Purpose: The main objective is to present the symbiosis between smart cities, policing, criminal investigation and criminal intelligence. Moreover, another purpose is to critically address the underlying privacy concerns arising from smart city designs. Design/Methods/Approach: The paper is theoretical in scope and utilises a literature review as the basic method. Correlations between smart cities, policing and criminal investigations are identified by analysing the applicability of core smart city technologies and services [SCTS]. Findings: It is evident that SCTS can influence policing styles and police effectiveness. SCTS hold great potential for criminal investigations and criminal intelligence as they provide information upon which police can develop investigations or crime-control strategies. Vice-versa, criminal investigations and criminal intelligence can provide guidelines for SCTS developers and the governance of smart cities. However, privacy concerns and the slowly developing regulatory framework remain the biggest issues when it comes to SCTS adoption, thus making measures to safeguard privacy a key factor for the legitimacy of smart cities and smart policing. Practical Implications: The paper introduces practical knowledge about the implications of smart cities for policing and crime investigation. Some research ideas are presented as well as suggestions for legislators, developers and others whose work area falls in the scope of (smart) city governance. Originality/Value: A comprehensive study of the symbiosis between smart cities and policing must not only consider the potential of SCTS but the related need to develop regulation and skillsets of human resources. Only a handful of papers address the connectivity of smart cities, criminal investigations and criminal intelligence from such a multidisciplinary scope. Therefore, the paper represents a contribution to works discussing these concepts.
Ključne besede: smart cities, safety and security provision, policing, criminal investigation, criminal intelligence
Objavljeno: 20.04.2020; Ogledov: 351; Prenosov: 30
.pdf Celotno besedilo (611,90 KB)
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Nature-inspired algorithms for hyperparameter optimization
Filip Glojnarić, 2019, magistrsko delo

Opis: This master thesis is focusing on the utilization of nature-inspired algorithms for hyperparameter optimization, how they work and how to use them. We present some existing methods for hyperparameter optimization as well as propose a novel method that is based on six different nature-inspired algorithms: Firefly algorithm, Grey Wolf Optimizer, Particle Swarm Optimization, Genetic algorithm, Differential Evolution, and Hybrid Bat algorithm. We also show the optimization results (set of hyperparameters) for each algorithm and we present the plots of the accuracy for each combination and handpicked one. In discussion of the results, we provide the answers on our research questions as well as propose ideas for future work.
Ključne besede: artificial intelligence, artificial neural networks, machine learning, nature-inspired algorithms, evolutionary algorithms
Objavljeno: 09.12.2019; Ogledov: 705; Prenosov: 78
.pdf Celotno besedilo (969,13 KB)

Integration of design, modeling and visualization in slovenian primary education
Kosta Dolenc, Boris Aberšek, 2012, izvirni znanstveni članek

Opis: A human being perceives the world spatially, he detects and properly processes distances, size of objects, their shapes and all that is linked to our perceptions of the world. Humans' sensors provide the information about the world around and brain translates this information into thoughts, into ideas. The whole process is completely natural. In the past, due to technological limitations, the human attempted to generalize these ideas and convert them into a form so that he could "record" it on a flat medium, like on paper for example, and because of that he consequently had to develop the ability to "read these records. The term spatial perception was introduced and after that it was established that not everyone has it. To possess spatial perception an abstract way of thinking and higher cognitive abilities are needed. This paper presents an integration of design, three dimensional (3D) modeling and visualization program SketchUp in Design and technology curriculum into Slovenian primary schools. Emphasis is given to the analysis of the past and current condition and situation and on the incorporation of the program into the primary school curriculum. With the strategy assigned in such a way, the abilities that are connected with technological activities are strengthened, spatial intelligence is developed and assimilated. With such an approach two of the key European competences: 1. Mathematical competence and 2. Basic competences in science and technology and digital literacy, are acquired and reinforced.
Ključne besede: ability, competence, design, technology, SketchUp, spatial intelligence
Objavljeno: 15.12.2017; Ogledov: 604; Prenosov: 77
.pdf Celotno besedilo (437,71 KB)
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Enhancement of educational process using experience based tutoring approaches
Boris Aberšek, Mateja Ploj Virtič, 2009, izvirni znanstveni članek

Opis: The equations clearly show that any technological development requires adequate preparation i.e. education of human resources for this development. Slovenia wish is to base its own development and prosperity mainly on knowledge. Therefore, the change and modification of education system became an imperative. Consequently, the following article deals with the demand: Slovenia has to fulfil in this process of transformation. From the experiences of recent years, it seems clear that the existing education system in Slovenia. as a whole, is perceived as an ailing system that fails to meet the needs of a major portion of the society it serves. Every aspect of the educational process and system must be studied and reconsidered in light of new and different societal expectations. And for these purposes we would like to use all positive experiences from different systems in the world.
Ključne besede: education, technical education, quality enhancement, learning environment, intelligence
Objavljeno: 15.12.2017; Ogledov: 435; Prenosov: 56
.pdf Celotno besedilo (1,96 MB)
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Artificial intelligence versus human talents in learning process
Janez Bregant, Boris Aberšek, 2011, izvirni znanstveni članek

Opis: To highlight the differences between conventional educational systems and CBLS - computer based learning systems. It is useful to consider CBLS, as the class of a system most closely related to artificial intelligence - AI. In such a system, the ultimate goal is to create a virtual duplicate of reality for learning, analysis, training, experimentation, or other purposes. Simulating reality is an approach that may or may not be useful at creating experience. This distinction yield several consequences. In CBLS, behaviour should be as realistic as possible, the representation of environment tends to be uniform and consistent and allowing users to act freely within that environment. To teach users through realistic experience CBLS design techniques can make the experience much more memorable. In such an environment the context and control afforded by design techniques allow the integration of technologies and evaluation of the overall experience. Perhaps it is time to take lessons of CBLS and AI in a learning design and teaching tools seriously. At the beginning we will point out one simple question: could the ideas, methodology and techniques of AI also be applied to a development of relatively serious mind applications and can they substitute human teachers? And the answer will be continued in our paper.
Ključne besede: education, intelligent tutors, artificial intelligence, CBLS
Objavljeno: 12.12.2017; Ogledov: 759; Prenosov: 65
.pdf Celotno besedilo (465,85 KB)
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Uporaba napredne analitike pri upravljanju z veliko količino podatkov na primeru cortana intelligence suite
Špela Berglez, 2017, diplomsko delo

Opis: V diplomskem projektu Uporaba napredne analitike pri upravljanju z veliko količino podatkov na primeru Cortana Intelligence Suite, smo se osredotočili na dve temeljni tematiki – masovne podatke in napredno analitiko. Z masovnimi podatki poimenujemo velike količine, visoke hitrosti in raznolike vrste informacijskih sredstev ter podatkov, ki zahtevajo stroškovno učinkovito in inovativno obdelavo, ki omogoča nadgrajeno pridobivanje spoznanj, sprejemanje odločitev ter avtomatizacijo procesov. Ti so tesno povezani z napredno analitiko, pri kateri gre za analiziranje podatkov in vsebin z uporabo naprednih tehnik in orodij, ki presegajo tradicionalne analitične postopke. S pomočjo napredne analitike lahko odkrivamo globlja spoznanja, oblikujemo napovedi in ustvarjamo priporočila. Obe tematiki smo podrobno predstavili in pojasnili temeljne teoretične zakonitosti in najnovejše trende na teh področjih. V zadnjem delu diplomskega projekta smo teoretično znanje iz področja masovnih podatkov in napredne analitike združili in njuno povezavo pojasnili na praktičnem primeru rešitve Cortana Intelligence Suite. Cortana Intelligence Suite je zbirka integriranih orodij in storitev, namenjenih vključevanju in avtomatizaciji napredne analitike v podjetja. Posamezna orodja, platforme in storitve smo natančno razložili in pojasnili koncepte delovanja. Za konec smo predstavili še študiji primera, ter z njima podkrepili vse predstavljene teoretične zakonitosti.
Ključne besede: masovni podatki, napredna analitika, cortana intelligence suite, podatkovno rudarjenje, strojno učenje
Objavljeno: 28.11.2017; Ogledov: 875; Prenosov: 147
.pdf Celotno besedilo (1,94 MB)

Advances in production and industrial engineering
2017, znanstvena monografija

Opis: This publication, scientific monograph, offers comprehensive chapter series from scientific researchers conducted by regional authors, authorities in the fields and summarizes the principal scientific contributions. The chapters deal with range topics from optimization techniques in production development, quality in production processes, product and process development, technologies for business development and factors of social and economic development. Edited by two editors with contributions from chapters’ authors, this scientific monograph presents advanced topics for students, educators and practitioners. The editors would like to thank all chapters’ authors for devoting of the research results and expertise with the great enthusiasm. We encourage all of them to continue successful highly valuable cooperation, between Faculty of Mechanical Engineering at the University of Maribor and Faculty of Mechanical Engineering at the Ss. Cyril and Methodius University in Skopje.
Ključne besede: mechanical engineering, production management, manufacturing, artificial intelligence, process development, economic development
Objavljeno: 19.07.2017; Ogledov: 806; Prenosov: 293
.pdf Celotno besedilo (8,32 MB)
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