Horizons of AI: Ethical Considerations and Interdisciplinary Engagements 2nd International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2024

This book navigates the intricate landscape of artificial intelligence (AI) integration, exploring its ethical dimensions and interdisciplinary engagements. Spanning sectors such as engineering, health care, robotics, industry, law, economics, education, transportation, and multimedia, it transcends mere technicalities. Embracing a multidisciplinary approach, the book sheds light on AI's transformative potential and practical implications. By blending theoretical underpinnings with real-world case studies, it offers a nuanced understanding of AI and its applications. Covering machine learning, natural language processing, computer vision, data analytics, and robotics and control, it equips researchers, professionals, and enthusiasts with the tools to navigate the evolving AI landscape responsibly.

HST-4: An Accountability Extension to Human-Swarm Teaming Architecture.- A Supervisory Control Scheme towards Exchanging Formations of a Parametric Number of Mobile Robots.- Evaluation of Deep learning approaches for prediction of traffic accidents in DashCam Videos.- A Fault Diagnosis based Safety Supervisor Control for an Automated Guided Vehicle with Faulty Modes.- The use of “Ethics by Design” approach as a method to mitigate the challenges posed by automated decision-making systems in justice.- Perception of Bias in AI-Generated News Articles: A Comparative Study between Generation X and Generation Z.- Language of the research community in AI Ethics in Education: considerations of the present and perspectives for the future.- On the Impact of AI on Research Ethics.- An Evaluation of Data Pipelines with Large Language Models.- Is KAN More Interpretable Than MLP? A Comparative Study on Image and Text Data.- Improving Early Dementia Detection with Advanced Language Models Based on Linguistic Features.- Automatic Classification of Neurodegenerative Disorders Using EEG Data.- Utilizing Environmental, Social and Governance (ESG) and Machine Learning (ML) in Predicting Shipping Loan Defaults.- Using Explainable AI (XAI) to Understand Sentiment Analysis of Hotel Reviews.- Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain.- The Social-based Credit Scoring Approach: New Insights for Eligibility using Social Media Data.- Towards the Design of Digital Hydraulic Systems using Fuzzy Logic Control.

Mina Farmanbar is Associate Professor at the computer science department at the University of Stavanger (UiS), Norway. She has been Active Researcher at UiS and Akershus University Hospital since 2017. Notably, she is recognized among Norway's top 100 women in the AI field, a testament to her impactful contributions, and is currently Deputy Leader of the Applied Intelligence and Emerging Technologies (AIxTech) research group, at the University of Stavanger. She has been Program Committee Member of NORA—Norwegian Artificial Intelligence Research Consortium since 2021—and Program Committee Member and Proceedings Chair of the Springer International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA). Her research interests span a wide range of topics within the field, including but not limited to data science, natural language processing, and machine learning applications.

Maria P. Tzamtzi is Electrical and Computer Engineer with Ph.D. on automatic control systems. She is Professor of automatic control systems at the Department of Digital Industry Technologies of the National and Kapodistrian University of Athens (NKUA), Vice-Head of this department, and Member of the Robotics, Automatic Control and Cyber-Physical Systems Laboratory of NKUA. She has served as Director of the NKUA’s MSc Program on “Augmented Textual Studies: Text Encoding and Text Mining”, as well as Member of the steering committees for two M.Sc. Programs of NKUA on “Advanced Robotics and Control Systems” and on “Digital Humanities”. She has received a 2023 Olympiad Medal from the International Olympiad Committee in Engineering Science of the conference Olympiad in Engineering Science 2023. Her experience on these fields comprises authorship of research papers, participation in several research projects, as well as long teaching experience in pregraduate and postgraduate programs.

Klaus Schoeffmann is Associate Professor at the Institute of Information Technology (ITEC) at Klagenfurt University, Austria. His research focuses on video retrieval and interactive multimedia systems, particularly in the medical domain. He has co-authored numerous publications on various topics in multimedia, and he has co-organized several international conferences, workshops, and special sessions in the field of multimedia. Furthermore, he is Co-Founder of the Video Browser Showdown (VBS)—an international live evaluation competition of interactive video search. 

Nikolaos D. Kouvakas is Associate Professor of automati