Artificial Intelligence for Sustainability and Global Security
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Artificial Intelligence for Sustainability and Global Security

Artificial Intelligence for Sustainability and Global Security


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About the Book

These workshops follows the previously organized AI4KM on IJCAI15 – 19. It evolved to AI4KMES on IJCAI 20 and 21 and to AI4S held on ECAI23. It will focus on various ways of using AI to address effectively the sustainability issues including 17 UN SD goals.



Table of Contents:

.- Artificial Intelligence for Sustainability.
.- A Hybrid Knowledge-Based and Large Language Model Framework for Sustainable 
Design Education Toktam B. Fabrizi.
.- The Future of Work: Exploring Expectations and Fears Toward Artificial Intelli
gence in the Labor Market” Jolanta Kowal, Dmitriy Yanchylik, and Paweł 
Weichbroth.
.- Generative AI for sustainable problem solving in I5.0 Generative AI by Cristina R. 
Monsone, Eunika Mercier-Laurent and Ádám B. Csapó.
.- Causal Analysis of Machine Deviations on Espresso Sensory Quality” Kouassi 
Kouakou Kan Maxime, Michal Ptaszynski, Fumito Masui, Tanjim Mahmud, Tsuyoshi 
Gotoda, Hirofumi Arai, Chao-Hui Feng, and Jun Watanabe.
.- Studying Neural Network Robustness to Weight. Perturbations for Sustainable In
cremental Learning” by Parth Mehta and Xiaoyin Wang.
.- Time Series Augmentations with Unsupervised Viewmakers for Robust Disruption 
Prediction in Nuclear Fusion” by Dhruva Chayapathy, Lucas Spangher, Tavis Siebert, 
Om Patil and Akshata Kishore.
.- Self-Refining Segment Anything: A Perturbation-Driven Approach for Semi-Super
vised Satellite Image Segmentation by Renzo Larenas, Luis Caro, and Billy Peralta.
.- A review of reinforcement learning methods and performance measures in algorith
mic stock trading  Aleksander Kruczkowski and Paweł Weichbroth.
.- Artificial Intelligence Business and Global Sustainability Review Konstantin M. 
Golubev.
.- Supply Chain Considerations for AI Implementation – Critical Minerals, Data Cen
ters, and the Environment Lynne Schneider.
.- Accelerating LSTM model training through biologically inspired NeuroAI and in
vestigating novel applications Robert Tracey, M. Emre Sahin and Carol Mak.
.- Optimal Planning and Machine Learning for Responsive Tracking and Enhanced 
Forecasting of Wildfires using a Spacecraft Constellation”. Sreeja Roy-Singh, Vinay 
Ravindra, Richard Levinson, Mahta Moghaddam, Jan Mandel, Adam Kochanski, An
gel Farguell Causo, Kurtis Nelson, Samira Alkaee Taleghan, Archana Kannan and 
Amer Melebari.
.- Classification Framework for Stream Type Identification Golnaz Mesbahi, Shadan 
Golestan, Buddy Brown, Joey Ton, and Jerome Cranston.
.- Explainable AI for Wildfire Management and Ecological Sustainability: A Short 
Survey of Techniques, Case Studies, and Operational Pathways Akshata Kishore Mo
harir, Sameera S Kashyap, Jay Prakash Thakur, and Divya Nayak.
.- RAG4MuniESG: ESG Assessment for Municipal Sustainability through Retrieval
Augmented Generation” by Dorsaf Sallami and Juste Rajaonson.
.- Changing the perception of digital competences in 2018 and 2025 among Polish and 
Slovak students Marek Szajt, Klaudia Smoląg, Katarzyna Kozioł-Nadolna, Zuzana 
Hajduová and Iwona Chomiak-Orsa.
.- The current intensity of AI use and the perception of AI applications in strategic 
decision-making by Katarzyna Grzesik, Renata Brajer-Marczak, Michał Nadolny, 
Katarzyna Liwarska-Fulczyk, Iwona Chomiak-Orsa and Anna Marciszewska.
.- A Simulation-Based Approach to Processes in the Municipal Waste Management 
Sector Aleksander Binsztok, Beata Butryn, Krzysztof Hauke and Maciej Pondel.
.- AI and Sustainability – Canada Focus Margaret Havey.
.- Data-Driven Sustainability: The Role of Urban Platforms in Participatory Smart
City Governance Lukasz Przysucha and Adam Sulich.
.- Algorithmic Governance in ESG Reporting: A Comparative Study of AI Tools' Ef
fectiveness in Mitigating Greenwashing Michał Petri, Iwona Chomiak-Orsa and 
Łukasz Przysucha.
.- Technological challenges, energy poverty and other barriers to the expansion of en
ergy communities in Europe” by Evaldo Costa and Eunika Mercier-Laurent.
.- Towards sustainable, AI-powered agriculture: Emerging technologies, benefits and 
barriers” by Marios Paraskevopoulos, George Routis and Ioanna Roussaki.
.- Artificial Intelligence for Global Security.
.- A SWOT analysis of AI technology sovereignty landscape assessment Mariya Ev
timova-Gardair, Frédérique Segond, Patrick Fabiani, Thibault Lahire, and Michel Rott
maier.
.- Rule-Based Coordination Strategies for Protection in Multi-Agent Defense Scenar
ios" by Thibault Lahire.
.- Trust and Explainability in Ethical AI for Global Security" by Brian Challita and 
Pierre Parrend.


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Product Details
  • ISBN-13: 9783032211835
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • ISBN-10: 3032211832
  • Publisher Date: 20 Apr 2026


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