Description
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.
.- 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 Pawel
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 Pawel 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 Smolag, Katarzyna Koziol-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, Michal 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 Michal Petri, Iwona Chomiak-Orsa and
Lukasz Przysucha.
.- Technological challenges, energy poverty and other barriers to the expansion of en
ergy communities in Europe by Evaldo Costa and Eunika Mercier-Laurent.
