Workshop on Artificial Intelligence for Sustainability (AI4S)

In Conjunction with

The Pacific Rim International Conferences on Artificial Intelligence (PRICAI) 

Kyoto, Japan, November 18-20, 2024

ABOUT THE WORKSHOP

Artificial Intelligence (AI) and especially generative AI has a potential to help us in many ways, including addressing the 17 UN sustainability goals, producing smarter and greener hardware, software and applications. However, it produces also various kinds of waste and impacts to manage. 

Sustainability requires solving complex problems, often with hybrid AI architecture. In numerous cases, knowledge is vital for successful innovation, facing environmental challenges, in smart cities, education and resource management, among others. Energy life cycle, optimization, and combination of renewable energies for sustainable powering and heating can be improved applying also Knowledge Management principles. Raising prices of natural gas drives growth in renewable energies. Industries like steel, glass, chemical manufacturing sites are they are looking for AI based control systems for the Grid connected micro-grids. Circular energy explores the heat generated by data centers and the waste steam for a sustainable environment as like creating fish farms or agricultural sites, or recreating cooling water, which are additional processes that demand AI-based scheduling using meteorological data. Clean energy solutions require evolution of manufacturing processes and holistic approach supported by rigorous analytics, high quality data and the recognition of infrastructure dependencies. In order to increase sustainability in agriculture, it is vital to incorporate green technologies into farming, e.g., renewable generation. However, there are significant challenges associated with enhancing the sustainability of agriculture. 

After two workshops AI4KMES on IJCAI 20 and 21, AI4S on ECAI23 this workshop will focus on various ways of using AI to address 17 UN SD goals and understand the main causes of Climate Change. 

TOPICS

The workshop topics include (but are not limited to): 


Applications for eco-activities and AI applications supporting sustainable development are very welcome. 

CALL FOR PAPERS

SUBMISSION DETAILS

We invite authors to submit unpublished papers to this workshop, to be presented at Oral/Poster presentation after acceptance. All papers must be written in English, and the workshop will consider full-length papers and extended abstracts. 

Springer format https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines


* Note: We invite authors whose submissions to the main conference were previously rejected to submit their work to our workshop. To do so, they must include a supplemental submission with comments from previous reviewers (named reviews.pdf) and a letter of modifications (named letter_of_changes.pdf). These documents should clearly demonstrate how the authors have addressed the comments made by previous reviewers. 

DEADLINES

All dates are 11:59 pm, Anywhere on Earth (AoE) 

PUBLICATION DETAILS

WORKSHOP ORGANIZERS

Eunika Mercier-Laurent is Associate Researcher University of Reims Champagne Ardenne, France and professor of various aspect of artificial intelligence and innovation at Epita, engineering school, Paris, International Masters. She is the author of over hundred scientific publications and books. Her research work focuses on AI impacts and AI for Sustainability. Chair of the IFIP (ifip.org) Technical Committee 12 (AI) and TC12.6 – working group AI for Knowledge Management. She organizes the AI4KM workshop since 2012. The first AI4KM was organized on ECAI 2012, the second on Fedcsis 2014 in Warsaw, the third took place @IJCAI 2015 in Buenos Aires, Argentina, 4th @IJCAI 16 in New York, 5th @IJCAI 17, Melbourne, 6th @ IJCAI 18 in Stockholm, 7th @IJCAI 19, Macao, 8th @IJCAI 20, Yokohama and 9th @IJCAI 21, Montreal. The last joined the common interest of WG 12.6 and recently created WG 12.11 AI for Energy and Sustainability. 

Gülgün Kayakutlu is professor of artificial intelligence applied to energy management at the Technical University of Istanbul. She chairs the IFIP TC12.11 Working Group on Energy and Sustainability. She participates in organization and publishing of selected, extended papers from AI4KM and recently AI4KMES. 

Mieczyslaw L. OWOC, PhD habilitatus in Economics, is emeritus professor of Business Informatics at Wroclaw University of Economics and Business, and former Director of Business Informatics Institute. He has over 30 years of teaching experience and research in databases and intelligent systems and chosen aspects of knowledge management and business intelligence. He has authored over 160 publications mostly oriented on artificial intelligence methods and knowledge management topics. His current research is in modern information technologies useful in education, including Big Data with focus on knowledge validation and knowledge management. Professor Owoc took a part in several international projects focused on managerial knowledge, life-long learning and business informatics educational aspects. He had internships in European universities (France, Belgium, Ireland, Russia and Belarus). Prof. Owoc was a supervisor of over 3 PhD thesis and 300 of bachelor and master diplomas. He is a member of many programming committees and a reviewer of international conferences and journals.

Abdul Wahid

Abdul Wahid is working as an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Information Technology, Dharwad, India. Previously, he held positions as a Postdoctoral Researcher at the University of Galway (Ireland), Research Engineer at the University of Haute Alsace, Mulhouse (France), and a Postdoctoral Fellow at the Institut Polytechnique de Paris (France). Before that, he received his PhD in Computer Science and Engineering from the Indian Institute of Technology (Indian School of Mines), Dhanbad, India. His research focuses on machine learning, but explores multiple topics: neural networks, reinforcement learning, anomaly detection, data stream analysis, multi-agent systems and evolutionary computation. He is also interested in applications of AI/ML to problems such as telecom fraud, banking fraud, smart grids, agriculture, and sustainability. Apart from his research activities, he has organized a workshop on Artificial Intelligence for Sustainability (AI4S) at ECAI 2023 in Poland, and a workshop on Deep Learning for Sustainable Precision Agriculture (DLSPA) at ECML PKDD 2023 in Italy. 

PROGRAM COMMITTEE

QUESTIONS?

All enquiries should be sent to the workshop organizers.