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Perception of Generative Artificial Intelligence in selected Newsrooms of Domestic News Media with a Focus on Changes in Journalistic Ethics
Vaněček, Lukáš ; Moravec, Václav (advisor) ; Klimeš, David (referee)
The bachelor thesis delves into the subject of artificial intelligence and simultaneously explores its application in domestic editorial offices, along with the emerging ethical challenges associated with these technologies. In the theoretical section, in addition to introducing generative artificial intelligence itself and platforms such as ChatGPT or Midjourney operating on this basis, it describes the ethical domains in which the mentioned tools may instigate changes. The thesis includes a qualitative research component based on twelve in-depth semi- structured interviews with respondents from both public-service and private newsrooms actively utilizing generative artificial intelligence. Keywords Artificial Intelligence, AI, ChatGPT, Midjourney, ethics, transformation, machine learning, automated journalism, media Title Perception of Generative Artificial Intelligence in Selected Newsrooms of Domestic News Media with a Focus on Changes in Journalistic Ethics
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Artificial intelligence in web development
Vaň, Denis ; Štípek, Jiří (advisor) ; Procházka, Josef (referee)
This bachelor thesis deals with the use of modern artificial intelligence, specifically OpenAI's GPT-4 model, for web development and applications. The introductory section provides an overview of artificial intelligence and details the key characteristics and development of the GPT-4 model. The basic principles of its operation are explained, including the transformer architecture and technologies such as Multi-Head Attention and Positional Encoding that are essential to its performance. Furthermore, the paper explores tokenization processes, including Byte Pair Encoding, and their impact on model efficiency. Token count limits, pricing policy and token management are also considered. The broader context of the importance of GPT-4 for the future of artificial intelligence and natural language processing is also discussed. The theoretical section also shows how and where GPT-4 can be applied. The practical part of the bachelor thesis presents how the GPT-4 model can independently create web projects of varying complexity, ranging from simple HTML and CSS pages to more complex applications using JavaScript, PHP and databases. It starts with projects such as personal business cards and interactive forms that demonstrate GPT-4's basic capabilities in creating and styling web content. Gradually, more...
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Expert system for diagnosis of diabetes
Braniš, Lukáš ; Jurajda, Michal (referee) ; Jirsík, Václav (advisor)
This thesis deals with the design and creation of a knowledge base for the NPS diagnostic expert system. The knowledge base is designed to diagnose diabetes and its specific type. Part of the thesis is a brief introduction to the issue of artificial intelligence, acquaintance of the reader with the theory of expert systems and knowledge engineering. Further, the thesis deals with the complex issue of the disease diabetes mellitus, its types, properties, symptoms and diagnosis.
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Artificial intelligence and politeness: a small-scale experimental study
Finkevich, Dzmitryi ; Smutný, Milan (referee) ; Sučková, Magda (advisor)
Cílem této studie je ověřit hypotézu, že aplikace UI poskytuje lepší odpovědi, pokud dostává zdvořilé zadání. Na základě známých teorií zdvořilosti Brown a Levinsona (1987) a Leeche (1983, 2014), byl navržen a proveden experiment, při němž byl ChatGPT, popularní chatbot založený na konverzaci s uživateli, promptován za využití pozitivní, negativní a zdvořilostní strategie a bez nich. Vygenerované odpovědi jsou analyzovány a následně srovnány dle jejich obsahové a jazykové stránky. Na základě výsledků tohoto experimentu, tato práce stanovuje praktická doporučení pro uživatele, jak optimalizovat prompty pro UI, a dosáhnout tak přesnějších výsledků.
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ChatGPT: Principles, benefits and pitfalls
Ulman, Daniel ; Ellederová, Eva (referee) ; Šedrlová, Magdalena (advisor)
Díky rychlému pokroku v oblasti umělé inteligence v posledních několika letech je pravděpodobné, že bude lidstvo na umělou inteligenci spoléhat čím dál více v nejrůznějších oblastech. Jednou takovou zajímavou rozvíjející se oblastí v rámci umělé inteligence se stávají chatboti. V této bakalářské práci je nejprve představen vývoj umělé inteligence, který poskytuje kontext pro základní princip fungování chatbotů. Poté je popsáno vnitřní fungování chatbotů a představeno několik typů chatbotů rozdělených dle několika různých klasifikací. Tyto fakta slouží jako podklad pro zkoumání hlavního tématu této práce, ChatGPT. Poznatky z rešerše literatury ukazují, že velké jazykové modely, jako je právě ChatGPT, mohou být přelomem v lidské interakci s umělou inteligencí, otevírající nové možnosti v digitální éře, ale také vyvolávající obavy o jejich úskalích.
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Web application integrating artificial intelligence techniques into the correlation rule creation process
Šibor, Martin ; Caha, Tomáš (referee) ; Safonov, Yehor (advisor)
Currently, as digitalization becomes an integral part of all areas of our lives, the complexity and sophistication of cyber threats are constantly increasing. A key element in the fight against these cyber threats is security monitoring. An important tool for security monitoring are SIEM systems, which allow for early detection and response to potential attacks based on correlation rules. The main contribution of this work is the design and implementation of a web application that integrates artificial intelligence techniques into the process of creating and managing correlation rules for security monitoring systems, with the aim of streamlining the process of creating, modifying, and understanding correlation rules. The work first provides a theoretical introduction to the field of natural language processing and modern neural networks, particularly the transformer architecture, which is the basis of generative artificial intelligence models (e.g., ChatGPT, Gemini). It then introduces the principles of security monitoring, log management systems, the concept of correlation rule generalization, and, last but not least, the challenges associated with managing and maintaining correlation rules, which the integration of artificial intelligence into these processes significantly reduces. The practical part of the work describes the design and implementation of a web application that utilizes the gpt-4 and gpt-3.5-turbo models from OpenAI and the Gemini Ultra 1.0 model from Google for creating new correlation rules, modifying existing rules, and explaining and interpreting them for easier understanding and faster deployment. The application is designed with user-friendliness and efficiency in mind. The results of the work show that the integration of artificial intelligence into the correlation rule creation process brings significant efficiency improvements. The web application allows users to easily create and modify correlation rules. The application also allows users to better understand correlation rules, enabling them to respond to potential threats more quickly.
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Programming a robotic arm with ChatGPT
Kuba, Josef ; Bambušek, Daniel (referee) ; Materna, Zdeněk (advisor)
This bachelor thesis aims to develop a virtual assistant that allows users without advanced technical knowledge to effectively control a robotic arm. The thesis uses ChatGPT technology along with \uv{function calling} to generate commands for the robotic arm API based on user input. The focus is on developing and testing appropriate inputs for ChatGPT (prompt engineering), to create an intuitive and user-friendly interface. Testing with users revealed opportunities for improvement and provided valuable feedback for further development. Users were able to create simple object manipulation programs without much difficulty. The results show that the creation of such an assistant is possible and that the main challenge is to specify the correctly designed system input for proper code generation. The paper also compares the performance and efficiency of ChatGPT versions 3.5 Turbo and 4, emphasizing the importance of choosing the appropriate version for a particular application.
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Impact of AI Tools on Code Quality and Security
Vinarčík, Peter ; Holop, Patrik (referee) ; Malinka, Kamil (advisor)
Táto práca predstavuje novovytvorenú aplikáciu, ktorá je schopná vykonávať large scale výskum pre hodnotenie bezpečnosti a kvality kódu generovaného AI. Tiež bol predstavený nový spôsob vyhodnocovania bezpečnosti kódu generovaného AI, za využitia MITRE's metodológie v kombinácii so SAST toolmi vykonávajúcimi statickú analýzu nad kódom. Aplikácia je navyše rozšírená o vylepšeného AI chatbota, ktorého výstup je obohatený o výsledky statickej analýzy v čase generovania. Užívateľ vloží dataset promptov do aplikácie, a v prípade, že bol pre určitý prompt vygenerovaný kód so zraniteľnosťou, je táto zraniteľnosť ohodnotená zavedenou metodológiou a užívateľ dostáva informáciu nie len o tom, že kód je zraniteľný, ale ako veľmi. Súčasťou riešenia je aj oproti existujúcim výskumom veľké, pilotné testovanie popularných AI ako ChatGPT-4 či Gemini, nad datasetom promptov s využitím novej aplikácie. Výsledky ukázali dominanciu ChatGPT-4 bežiacom na modeli GPT-4, oproti ostatným testovaným AI.
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Application for Communication between Volunteers and Seniors
Pomkla, František ; Hynek, Jiří (referee) ; Bartík, Vladimír (advisor)
The Moudrá Síť app provides a platform for seniors and volunteer assistants to communicate and help seniors solve digital technology problems. The main goal of this project is to educate seniors and to increase their digital literacy. This thesis focuses also on technologies for web application development, the use of CRM systems for database development, Vercel web hosting, and web accessibility. Next, the basic principles and technologies for creating chatbots are presented. The result of the thesis is a functional web application already tested by seniors as well as a comparison of two chatbot solutions based on the GPT model and the Dialogflow platform using its knowledge base.
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The potential of Artificial Untelligence to support the work of Secondary Informatics Teachers
Procházka, Jiří ; Černochová, Miroslava (advisor) ; Neumajer, Ondřej (referee)
Exploring the Potential of Artificial Intelligence in Supporting the Work of Computer Science Teachers at the Secondary School Level ABSTRACT This master's thesis explores the use of artificial intelligence (AI), specifically ChatGPT-4, in teaching information technology at secondary schools. The theoretical part provides an overview of current AI approaches and compares major language models, emphasizing ChatGPT-4 for its capabilities in text generation, image creation from text, coding, and effective communication in Czech. The case study focused on utilizing ChatGPT-4 within the teacher's competency framework, encompassing the creation of educational materials, planning, conducting and reflecting on teaching, environment creation, feedback and evaluation, professional communication, and development. The study confirmed that ChatGPT-4 can significantly improve teacher's work efficiency, saving time and thereby supporting greater individualization in teaching. An analysis of available AI tools suitable for teaching information technology was also conducted. The discussion addresses how AI integration into information technology teaching can transform the teacher's role. AI offers support in material preparation and teaching optimization, increasing opportunities for personal interaction with students....
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