(in Polish) Nowe trendy i technologie w mediach 2700-M-LM-Z2NTTM
The following topics will be discussed during the classes:
Introduction to contemporary artificial intelligence in the media
Definitions and basic concepts: AI, machine learning, deep learning, generative AI.
Main branches of AI: expert systems, machine learning, neural networks, NLP, computer vision.
Examples of applications in journalism and media (automatic content creation, recommendations, moderation).
Large language models and natural language processing (LLM, NLP)
NLP basics: tokenization, vectorization, word embeddings, language models.
Transformer architecture, attention concepts, pre-training, fine-tuning.
How modern chatbots (ChatGPT-like) work, parameters such as temperature, top p, contextual constraints.
Model hallucinations, AI anthropomorphism, bias, and the “black box” problem (XAI).
Neural networks, computer vision, and generative AI
Classic neural networks, backpropagation learning, deep learning.
Convolutional neural networks (CNN) and their applications in image and video analysis in the media.
Generative AI: GAN, generative models for images, video, audio; example of YOLO, tools for generating video and speech.
Applications and risks: deepfakes, manipulation of visual and audio messages.
Swarm intelligence, emergent behavior, and distributed AI
Swarm intelligence – the idea of swarm intelligence based on examples from nature (fish shoals, social insects) and technology.
Distributed autonomous systems (drone swarms, nanorobots, microsystems) and their possible applications in media and communication (monitoring, data collection).
Emergent behaviors of AI systems – unpredictable patterns resulting from simple rules; potential consequences for trust in media algorithms.
New computer architecture and infrastructure for AI.
The role of GPUs and specialized chips (TPUs, dedicated accelerators) in the development of modern AI.
The basics of hardware architecture: processors, memory, graphics cards, the race for performance and miniaturization.
The Nvidia ecosystem and competing solutions, data centers, cloud computing, and their importance for media content production and distribution.
Local vs. cloud AI in the media
Locally run (on-device) models vs. cloud models: costs, privacy, delays, personalization options.
AI tools available on mobile devices, personal computers, and in newsrooms.
Quantum computers and the future of media infrastructure.
Basic concepts: qubit, superposition, entanglement, quantum advantage (in layman's terms).
The potential impact of quantum computers on cryptography, communication security, and media content encryption (e.g., broadcasts, pay TV, source protection).
Quantum networks and cryptology, predicted development scenarios and their significance for media practice.
New communication technologies: Starlink, 6G, Internet of Things (IoT)
Satellite constellations (e.g., Starlink) and global connectivity: implications for content distribution, access to information, and censorship.
5G/6G technologies: ultra-low latency, network density, applications in live media, immersive broadcasting.
Internet of Things: connected devices, sensors, smart homes and cities as new sources of data and communication channels.
Ethics, law, and security in the context of new technologies in the media
Data privacy, audience profiling, algorithmic recommendations, disinformation, and manipulation.
Copyright in the context of AI-generated content, issues of authorship and responsibility.
Regulatory frameworks and initiatives related to AI (overview: selected EU regulations, codes of ethics).
Overview of current trends and case studies
Analysis of current examples from the media: short videos, interviews with experts, new tools and services appearing in circulation.
Discussions on the impact of new technologies on the journalism profession, editorial work organization, and media business models.
Teaching methods
Mini-lecture with multimedia presentation.
Seminar – discussion of examples, case studies, video materials.
Analysis of current materials from the Internet (short videos, interviews, technology news) and demonstrations of AI tools (text, image, video, and speech generators).
Each of the main thematic blocks will consist of 1–2 meetings, with regular references to short videos and examples from the internet, which will also serve to make the classes more engaging.
Course coordinators
Learning outcomes
After completing the course, students will:
Knowledge – students will:
• be familiar with the basic concepts of contemporary artificial intelligence, machine learning, deep learning, large language models, and swarm intelligence.
• be familiar with the main types of neural network architectures (including CNN and transformer models) and their applications in the media (image, text, and video analysis).
• be familiar with the basic principles of modern computing equipment used for AI (GPUs, accelerators) and understand the importance of cloud computing and local AI solutions.
• knows the basic concepts related to quantum computers, quantum cryptology, and the potential impact of these technologies on media communication security.
• knows the most important directions of communication network development (Starlink and other satellite constellations, 5G/6G, Internet of Things) and their possible impact on the production and distribution of media content.
• is familiar with the basic ethical and legal issues related to the use of new technologies in the media (algorithmic bias, hallucinations, copyright, disinformation).
Skills – student:
• can explain in a way that is understandable to a layperson how modern AI systems used in the media work (e.g., chatbots, recommendation systems, content generators).
• can critically assess the capabilities and limitations of AI tools (including hallucinations, lack of interpretability) in the context of journalism and media content creation.
• can identify examples of the use of new communication technologies (Starlink, 6G, IoT) in media practice and assess their potential benefits and risks.
• is able to analyze current examples and case studies of new technologies in the media and formulate their own conclusions about their impact on the profession of journalism and audiences.
Social skills / other skills – the student:
• is aware of the dynamics of new technology development in the media and the need to continuously update their knowledge in this area.
• understands the ethical responsibility associated with the use of AI tools and new technologies in media work, particularly in terms of credibility, privacy, and respect for copyright.
• is prepared to critically evaluate media messages created or modified using advanced technologies and to participate in public debate on the subject.
Assessment criteria
The final grade is based on:
A written test: 60 single-choice questions covering the content discussed in class; each question is worth 1 point.
Passing threshold: minimum 36 points (60% correct answers) – satisfactory grade (3.0).
Class attendance: a maximum of 2 unexcused absences are allowed.
Class participation (participation in discussions, analysis of examples) may increase the final grade by 0.5 points in the case of a borderline result.
Form and conditions of passing
The condition for admission to the test is participation in classes (absence limit as above).
The course is passed after obtaining a positive grade on the test.
In case of failing the test, there is a possibility of one retake.
Bibliography
Literatura podstawowa:
"Podstawy informatyki", Jerzy R. Nawrocki (2018, Wydawnictwo Naukowe PWN)
„Wstęp do informatyki”, Rafał Kawa, Jacek Lembas, (2017, Wydawnictwo Naukowe PWN)
„Wykłady z podstaw informatyki” Głowacki B., (2022, Wydawnictwo Witkom)
Internet jako źródło informacji dla dziennikarza – mijanie się z prawdą a etyka dziennikarska, Studia Medioznawcze 2015 1 (60) s. 21-32
Goban-Klas Tomasz, Media i komunikowanie masowe, Wydawnictw Naukowe PWN, Warszawa 2005.
Gogołek W., Komunikacja Sieciowa Uwarunkowania, kategorie i paradoksy, Wydawnictwo ASPRA, Warszawa 2010.
Gogołek W., Technologie informacyjne mediów, wyd. I. ASPRA-JR 2005.
Włodzimierz Gogołek, Informatyka dla humanistów, Kropki trzy, 2012.
Jankowski M., Internet jako źródło dziennikarskie - szansa czy zagrożenie? [online] http://www.inter.uni.lodz.pl/index.php/media/263-internet-jako-rodo-dziennikarskie-szansa-czy-zagrozenie-
S. Russell, P. Norvig, „Sztuczna inteligencja. Nowe spojrzenie”, t. 1–2, Helion, 2023.
M. Tegmark, „Życie 3.0. Człowiek w erze sztucznej inteligencji”, Prószyński i S-ka, 2019.
N. Bostrom, „Superinteligencja. Scenariusze, strategie, zagrożenia”, Helion, 2021.
Ahmed Banafa, „Quantum Computing and Other Transformative Technologies”, River Publishers, 2023.
Wybrane aktualne artykuły naukowe i raporty (np. dotyczące 5G/6G, Starlink, IoT, generatywnej AI) udostępniane studentom w trakcie semestru.
Lees C., Dolina Krzemowa i media: związek czy rozstanie? [online] http://pl.ejo-online.eu/nowe-media/dolina-krzemowa-dziennikarstwo-zwiazek-czy-rozstanie
Piskozub P., Dziennikarze a media społecznościowe [online] http://pl.ejo-online.eu/nowe-media/dziennikarze-media-spolecznosciowe
Literatura uzupełniająca:
Życie 3.0. Człowiek w erze sztucznej inteligencji, Tegmark Max, 2019, Prószyński Media
Superinteligencja. Scenariusze, strategie, zagrożenia, Bostrom Nick, 2021, Wydawnictwo Helion
Sztuczna inteligencja. Nowe spojrzenie. Tom 1, Russell Stuart Norvig Peter, 2023, Wydawnictwo Helion
Sztuczna inteligencja. Nowe spojrzenie. Tom 2, Russell Stuart Norvig Peter, 2023, Wydawnictwo Helion
Człowiek na rozdrożu. Sztuczna inteligencja 25 punktów widzenia, Brockman John (red.), 2020, Wydawnictwo Helion
„ŚWIAT NOWYCH TECHNOLOGII. CZY SZTUCZNA INTELIGENCJA ZDOMINUJE ŻYCIE CZŁOWIEKA?”, pod redakcją Danuta Morańska, Jadwiga Stawicka, Wacław Kubies; 2019, Oficyna Wydawnicza "Humanitas"
„Sztuczna inteligencja w prawie własności intelektualnej”, Adrian Niewęgłowski; 2021, Instytut Wymiaru Sprawiedliwości
„Sztuczna Inteligencja. Nieludzka, arcyludzka”, Aleksandra Przegalińska-Skierkowska, Paweł Oksanowicz, 2020, Społeczny Instytut Wydawniczy Znak
„Sztuczna inteligencja, blockchain, cyberbezpieczeństwo oraz dane osobowe : zagadnienia wybrane”, pod redakcją: Kinga Flaga-Gieruszyńska, Jacek Gołaczyński, Dariusz Szostek; 2019; Wydawnictwo C.H. Beck
Toffler Alvin, Trzecia fala, PIW, Warszawa 1997.
Toffler Alvin, Zmiana władzy, Wydawnictwo Zysk i S-ka, Poznań 1990.
Quantum Computing and Other Transformative Technologies, Ahmed Banafa, Published 2023 by River Publisher
Homo deus. Krótka historia jutra, Harari Yuval Noah, 2018, Wydawnictwo Literackie
Nadchodzi osobliwość. Kiedy człowiek przekroczy granice biologii, Kurzweil Ray, 2018, Kurhaus Publishing
J. Brockman (red.), „Człowiek na rozdrożu. Sztuczna inteligencja – 25 punktów widzenia”, Helion, 2020.
D. Morawska, J. Stawicka, W. Kubies (red.), „Świat nowych technologii. Czy sztuczna inteligencja zdominuje życie człowieka?”, Oficyna Wydawnicza Humanitas, 2019.
Wybrane raporty branżowe (np. o stanie rynku mediów cyfrowych, AI w redakcjach, rozwoju sieci 6G).
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: