| Vol-4141 urn:nbn:de:0074-4141-x Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# ExplAI 2025
Advanced AI in Explainability and Ethics for the Sustainable Development Goals

### Proceedings of the 1st Workshop on Advanced AI in Explainability and Ethics for the Sustainable Development Goals (ExplAI-2025)

### Khmelnytskyi, Ukraine, November 7, 2025.

Edited by

### Tetiana Hovorushchenko 1
Oleksander Barmak 1
Abdel-Badeeh M. Salem 2
Pavlo Radiuk 1

1 Khmelnytskyi National University, 11, Instytuts'ka str., Khmelnytskyi, 29016, Ukraine
2 Ain Shams University, El-Khalyfa El-Mamoun Street Abbasya, Cairo, Egypt

## Table of Contents

- Preface
  Summary: There were 44 papers submitted for peer-review to this workshop from authors representing 8 countries. Each submission underwent a rigorous double-blind peer-review process by at least two independent PC members. Out of these, 15 papers were accepted for this volume, resulting in an acceptance rate of approximately 34%.

### Session 1: Explainable AI

- Explainable artificial intelligence foundations for web-based sea ice extent forecasting system 1-14
  Tetiana Hovorushchenko, Olga Pavlova, Vitalii Alekseiko, Oleg Voichur, Valeriia Shvaiko, Artem Boyarchuk
- CNNs are explainable domain-specific visual embedders 15-27
  Zakhar Ostrovsky, Andrii Biloshchytskyi, Dmytro Uhryn
- Neural network detection of digital fatigue and burnout with interpretable thematic segmentation 28-37
  Olexander Mazurets, Roman Vit, Maryna Molchanova, Olena Sobko, Adam Wierzbicki, Dmytro Chumachenko
- An explainable artificial intelligence approach for detecting network attacks 38-51
  Dmytro Tymoshchuk, Andriy Sverstiuk, Yurii Klots, Nataliia Petliak, Vira Titova

### Session 2: AI Ethics and Governance

- A method for synthesising system architecture for IT infrastructure resistant to social engineering attacks 52-66
  Sergii Lysenko, Oleksandr Bokhonko, Tomas Sochor, Olha Atamaniuk, Nadiia Lysenko, Jiri Balej
- Linear ensemble model with winner-takes-all aggregation strategy for improved small data classification 67-77
  Ivan Izonin, Roman Tkachenko, Serhii Chesanov, Yaroslav Tolstyak, Myroslav Stupnytskyi
- An approach to identifying functional and non-functional requirements in IT-project management using deep learning models 78-91
  Ruslan Bahrii, Tetiana Skrypnyk, Bohdan Romanov, Elena Zaitseva, Houda El Bouhissi, Volodymyr Lytvynenko

### Session 3: Sustainable Development Goals

- AutoML PyCaret and SHAP explainable AI for ECG signal classification based on amplitude variability 92-106
  Dmytro Tymoshchuk, Iryna Didych, Andriy Sverstiuk, Lyubomyr Mosiy, Yuri Palianytsia
- A method for detecting intestinal thrombosis based on a hybrid approach using grey wolf optimization and a genetic algorithm 107-116
  Lyubomyr Chyrun, Dmytro Uhryn, Yuriy Ushenko, Oleksii Iliuk, Yuriy Masikevych
- A benchmark methodology for urban traffic pattern clustering using SUMO-based expert-verified ground truth 117-129
  Vitaliy Pavlyshyn, Eduard Manziuk, Adnène Arbi, Nebojsa Bacanin, Iurii Krak
- Knowledge engineering information technology for cultural-educational scenarios based on RAG 130-141
  Khrystyna Lipianina-Honcharenko, Nazar Melnyk, Myroslav Komar, Pavlo Bykovyy, Khrystyna Yurkiv

### Session 4: Trustworthy AI

- Vision transformers transfer learning for smoking detection in public spaces with transparent AI decisions 142-152
  Olexander Mazurets, Maryna Molchanova, Olha Zalutska, Ihor Kok, Vitaly Levashenko, Abdel-Badeeh M. Salem
- An approach to matching satellite and UAV images for visual place recognition using color normalization and YOLO 153-167
  Volodymyr Vozniak, Yuriy Ushenko, Orken Mamyrbayev
- Verifiable by construction: Evidence-anchored LLMs for explainable fake news detection 168-182
  Andrii Shupta, Pavlo Radiuk, Miroslav Kvassay, Piotr Gaj
- Hierarchical neural network model for identifying similar objects in drone images 183-195
  Dmytro Borovyk, Oleksander Barmak, Pawel Komada, Sergii Babichev

2025-12-05: submitted by Pavlo Radiuk, metadata incl. bibliographic data published under Creative Commons CC0
2025-12-22: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|