1st Edition

Artificial Intelligence and Large Language Models A Scientific Perspective

Edited By Abbas Moallem, Helmut Degen, Stavroula Ntoa Copyright 2026
346 Pages 56 B/W Illustrations
by CRC Press

346 Pages 56 B/W Illustrations
by CRC Press

With the latest developments in generative artificial intelligence (AI) and large language model (LLM) applications, like ChatGPT and Gemini, millions of people have started using them in their personal and professional lives. Interest in them continues to grow and they are becoming the go-to applications for students, academics, engineers, lawyers, designers, writers, media experts, programmers,... Read more

Chapter 1 Exploring the Artificial Intelligence Landscape

George Margetis and Wojciech Samek

Chapter 2 Neural Computing for Advanced Natural Language Understanding and Generation

Mark Nuppnau, Khalid Kattan, and Robert G. Reynolds

Chapter 3 LLMs in Cultural Heritage

Iosif Tsangko, Andreas Triantafyllopoulos, and Bjoern W. Schuller

Chapter 4 Large Language Models in Education: Applications, Challenges, and Use Cases

Mahnaz Moallem, Hoda Harati, and Suzhen Duan

Chapter 5 Healthcare in the Age of LLMs: Perspectives on Radiology

Rikhiya Ghosh, Shima Asaadi, Sanjeev Kumar Karn, Ullas Ullaskrishnan, and Oladimeji Farri

Chapter 6 Transforming Visual Communication: The Role of Large Language Models in Media Content Creation

Tina Korani

Chapter 7 Transforming Software Engineering and Software Acquisition with Large Language Models

John E. Robert, Ipek Ozkaya, and Douglas C. Schmidt

Chapter 8 Detecting and Correcting Software Assurance Document: Incompleteness, Inconsistencies, and Discrepancies Using LLMs

John E. Robert, Ipek Ozkaya, and Douglas C. Schmidt

Chapter 9 Large Language Models: Cybersecurity, Privacy, and Trust

Abbas Moallem, Wojciech Cellary, and Krzysztof Walczak

Chapter 10 Large Language Models in Human–Computer Interaction: Using LLM‑Generated Personas to Model Everything from Minority Views to Entire Ecosystems

Danial Amin, Joni Salminen, Bernard J. Jansen, Ilkka Kaate, and Waleed Akhtar

Chapter 11 Theoretical Foundations of Human Factors and Trustworthiness in Large Language Models

Kitty Kioskli

Chapter 12 How Do AI and LLMs Change Our Lives? Reflections and Outlook

Helmut Degen, Stavroula Ntoa, Abbas Moallem, Joerg Beringer, Carrie Ching, Lance Chong, Thomas Geis, Pei‑Hsuan Hsieh, Khalid Kattan, Prabhat Kumar, André Frank Krause, Carsten Lanquillon, Rebecca McNulty, Mark Mittrick, Mark Nuppnau, Abraham Moore Odell, Ming Qian, Adrienne Raglin, Robert G. Reynolds, John Richardson, Yao Sun, Lijing Wang, and Carsten Wittenberg

Index

Biography

Abbas Moallem is a Consultant and Adjunct Professor at San Jose State University, California, USA, where he teaches courses in human-computer interaction, cybersecurity, information visualization, and human factors. He serves as the Program Chair of HCI-CPT: The International Conference on HCI for Cybersecurity, Privacy, and Trust, and is the Chair for the International Conference on Human Factors in Cybersecurity. Dr. Moallem has worked with and consulted for numerous organizations, including PeopleSoft, Oracle Corporation, Tumbleweed, Axway, Applied Materials, Lam Research, and ASM International. His consulting expertise spans a variety of industries across Europe, Canada, and the United States. He is the editor of Human-Computer Interaction and Cybersecurity Handbook (2024) and Smart and Intelligent Systems (2024), and the author of Cybersecurity Awareness Among College Students and Faculty (2019), Understanding Cybersecurity Technologies (2024) and Human Factors Analysis of 23 Cyberattacks (2025), all published by CRC Press. Additionally, Dr. Moallem is the editor of a book series from CRC Press titled The Human Element in Smart and Intelligent Systems.

Helmut Degen is a Senior Key Expert for User Experience at Siemens Corporation in Princeton, NJ, USA. His research focuses on the intersection of trust, value, and efficiency in human-computer interaction, with a particular emphasis on explainable artificial intelligence (XAI). At Siemens, he leads initiatives that explore how AI systems can be made trustworthy and user-centric. Helmut also serves as co-chair of the annual international conference “AI in HCI,” affiliated with the HCI International Conference. He holds a Master of Science degree from the Karlsruhe Institute of Technology, Germany, and earned his Ph.D. in Information Science from the Freie Universität Berlin, Germany.

 

Stavroula Ntoa is a Computer Scientist specialising in Design for All, software accessibility, usability engineering, and User Experience (UX) research and design. She is a Principal Researcher at the HCI Laboratory of the Institute of Computer Science of the Foundation for Research and Technology - Hellas (ICS-FORTH), Greece, leading the accessible UX research and design activities of the lab. Her research interests focus on Design for All and Universal Access of modern interactive technologies, adaptive and intelligent interfaces, as well as inclusiveness and user experience research in intelligent and Artificial Intelligence environments. She serves as co-chair of the annual International Conference “AI in HCI,” affiliated with the HCI International Conference.