Paper submission due: May 21, 2024, 11:59pm (anywhere on Earth)
Notification due: June 4, 2024, 11:59pm (anywhere on Earth)
Camera ready due: TBA
Workshop date: August 5, 2024
Topic of Interest
The workshop will focus on the techniques and applications of AI in promoting a just transition toward a sustainable future. Key principles of fairness, inclusivity, and equity will be our guiding compass. Our aim is to provide technical discussions to tackle the broader implications of AI, addressing critical challenges in the following but not limited to:
1. Robust Data Governance
In the context of Jeju Island, a tourist destination and a possible living lab for sustainability, STAI will concentrate on the unique abundance of data available, ranging from human behaviors to environmental patterns. The workshop will address how AI can harness this wealth of big data to facilitate a sustainable transition, emphasizing the need for Robust Data Governance. By utilizing AI to process and analyze diverse datasets, we can gain deeper insights into resource management, energy conservation, and human impact. The workshop will discuss the governance frameworks required to navigate data privacy, security, and ethical use, ensuring that data aids in the sustainable development of the local community without compromising the rights of its residents and other stakeholders. Techniques like graph learning, agent and multi-agent systems, time series analysis, and causal factor analysis may be useful for this to realize or integrate community values. STAI also fosters an interdisciplinary dialogue, bridging the technical AI applications with their broader societal, economic, and environmental impacts, to support inclusive sustainability efforts.
2. Corporate Sustainability Communications
The STAI workshop harnesses ML to critically assess and enhance the transparency of corporate sustainability communications. By examining a variety of data streams, including corporate reports, online reviews, and social media content, our objective is to uphold the integrity of environmental narratives and prevent greenwashing. For example, this could be accomplished with NLP or CV tasks such as persuasion technique analyses, opinion mining, argument mining, table understanding, and document visual question answering with state-of-the-art approaches such as LLM prompting and logical reasoning. STAI strives to enable businesses to share their environmental efforts with transparency and data-driven evaluation of corporate responsibility. We are also interested in investigating how AI can decipher the real-world effects of these communications on consumer expectations, business performance, and stock market valuation, ensuring that sustainability efforts are accurately presented and rewarded in the marketplace.
3. Capacity Building for Small and Medium-sized Enterprises (SMEs)
STAI emphasizes the crucial role smaller nations and companies play in the global sustainable transition. The workshop provides these entities with the necessary insights, strategies, and tools to effectively harness AI for sustainable development. Discussions will include crucial topics like data privacy, sovereignty issues, equitable AI access, and the potential of domain-specific AI solutions, ensuring SMEs are well-equipped to navigate the AI era. Research on domain adaptation, knowledge distillation, domain-specific knowledge graphs, domain-specific architectures, and software design with respect to tools would be relevant. This includes leveraging specialized Large Language Models (LLMs) for customized solutions catering to the specific needs of these smaller actors, enabling them to compete effectively and sustainably.
Given the above, the scope of the workshop will include, but is not limited to:
To explore AI’s potential in fostering ethical corporate communication and green practices.
To evaluate AI’s role in driving sustainable transitions across environmental, societal, and economic domains.
To discuss AI’s significance in supporting smaller entities to achieve sustainability and maintain competitiveness.
To examine the challenges related to data privacy and sovereignty in AI applications.
To assess the impact of domain-adapted models with novel architecture or methods, including LLMs
To explore rhetoric, persuasion techniques, and discourse used in the sustainability domain and provide NLP and CV models to analyze them.
To enhance AI engineers’ awareness of the socio-economic impacts of their models, especially using graph learning, agents, time series analysis, and causal factor analysis
To furnish social scientists with datasets and tools, particularly for ML tasks, for robust economic and sustainability research.
To establish a platform for interdisciplinary dialogue on the intersection of AI, fairness, bias, ethics, sustainability, and data privacy.
Submission Instructions
We invite authors to submit their papers to the following tracks. All of the papers will be peer-reviewed in a double-blind manner. Papers submitted to this workshop can not be submitted to other IJCAI workshops.
Non-archival Track
Papers submitted to this track will not be published in the workshop proceedings. Authors of accepted abstracts/papers must present the work in-person in the STAI Workshop. From our workshop standpoint, the authors may submit their work-in-progress studies or papers that are already published elswhere. Kindly double check the policy of other venues or publishers. Opinion pieces, negative results, and case studies are also welcome on this track.
Authors can submit the full paper (7 pages of the content + 2 pages for references) or extended abstract (2 pages of the content + 1 page for reference).
Regular Track
Papers submitted to this track must be sufficiently original. The papers must not be under review and accepted or published elsewhere. Authors of accepted abstracts/papers must present the work in-person in the STAI Workshop. Upon satisfactory revision of the papers after the workshop, they may also be eligible for submission to a workshop proceeding, which may be published by a publisher.
Authors can submit the full paper (7 pages of the content + 2 pages for references) or extended abstract (2 pages of the content + 1 page for reference).
Format Instruction
The papers should follow the IJCAI template (https://www.ijcai.org/authors_kit). Authors must omit their names, affiliations and e-mails. Papers that do not meet the formatting requirements may be rejected without review.
Submission
Please use this OpenReview link to submit your paper. The author must register for an OpenReview account. We recommend authors to submit their draft as soon as possible (and any revisions can be made until the submission due).
Awards
For high-quality regular track papers, we will award Best Paper Award and Best Student Paper Award.
Call for Reviewers
If you are specialized in the related topics and interested in serving on the program committee, please contact gaku.morio@hal.hitachi.com until the submission deadline.
Join us in Jeju Island for an engaging and insightful experience at the STAI Workshop, IJCAI 2024!
Invited Talks
Peter J. Morgan
Peter J. Morgan is Senior Consulting Economist and Advisor to the Dean at the Asian Development Bank Institute (ADBI), and has been with ADBI since 2008. He has 23 years experience in the financial sector in Asia, most recently serving in Hong Kong as Chief Asia Economist for HSBC, responsible for macroeconomic analysis and forecasting for Asia. Previously, he served as Chief Japan Economist for HSBC, and earlier held similar positions at Merrill Lynch, Barclays de Zoete Wedd and Jardine Fleming. Prior to entering the financial industry, he was a consultant for Meta Systems Inc in Cambridge, MA, in energy and environmental analysis, and at International Business Information KK in Tokyo, in financial sector consulting. He earned his MA and PhD degrees in economics from Yale University. His research interests are in macroeconomic policy and financial sector regulation, reform, financial development, financial inclusion, fintech, financial literacy and financial education. In 2019 he served as the Lead Co-chair for the Task Force on The Future of Work and Education for the Digital Age for the Think 20 process, an engagement group with the G20.
Markus Leippold
Markus Leippold is a professor at the Swiss Finance Institute and the University of Zurich, where he holds the Chair in Financial Engineering. He is also a visiting researcher at Google DeepMind. Before joining the University of Zurich in 2009, Markus was an associate professor in quantitative finance at Imperial College Business School, London. In 2005, he was a visiting professor at the Federal Reserve Bank in New York. Markus obtained his Ph.D. in economics from the University of St.Gallen, Switzerland, in 1999, and after some years in the financial industry, he started as an assistant professor at the University of Zurich in 2002. Markus published in top academic journals like the Journal of Financial Economics, Review of Financial Studies, Review of Finance, Management Science, and Annals of Statistics. His work was awarded best paper prizes from the European Management Association, Inquire Europe, RISK Magazine, and the German Finance Association. In 2019, Markus spent a research semester at Google Research, digging deeper into research on natural language processing and its application to finance. Since June 2022, Markus is again a visiting researcher at Google DeepMind.
Papers
Awards
TBA
Accepted Papers
TBA
Organization
Organizing Committee
Soh Young In (KAIST, Republic of Korea)
Young Joon Lee (Cheju Halla University, Republic of Korea)
Gaku Morio (Stanford, Hitachi America, United States)
The IJCAI Organization is pleased to announce that registration for IJCAI-24 is now open.
** EARLY REGISTRATION CUT OFF: June 4, 2024, 23:59 pm AoE **
Please read the following information carefully along with the Conference Info menu item in the registration system.
Please have your credit card ready for payment!
Deadlines
Early registration: April 22 – June 4, 2024 (23:59 pm, AoE) Late registration: June 4 – July 3, 2024 (23:59 pm, AoE) Onsite registration: July 3 – August 9, 2024 (noon, KST)
General Information
* One full delegate registration per each accepted paper is required. The registered author has to attend and present the paper. If more than one author attends, then each author must register separately. Should none of the authors be able to attend, they are strongly advised to find a proxy to present their paper in-person! The proxy MUST be registered in their own name.
* Should sole author/authors of the papers be student(s) only, they can apply to the Grants’ program to defer the cost: Call for Grant Applications
* Full delegate registration fee includes one opening reception ticket, one banquet ticket and free tutorials.
* Full student registration fee includes one opening reception ticket, one student reception ticket and free tutorials.
* Additional tickets for social events can be purchased at time of registration (see bottom of this page).
* Letter of Invitation for Visa can be obtained at time of registration. Have your passport ready!
* Workshop/Sumposia and/or tutorials only registrations DO NOT include social events!
Students
Students will be required to upload proof of their student status at time of registration. Proof of status will be verified by IJCAI. Only after the status verification is completed, the student registration will become final!
Student ID’s without clear dates of validity, webpage screenshots and unofficial records will NOT be accepted as proof! Validity of proof must overlap with conference dates.
Acceptable proof of student status MUST be clearly readable in English language, contain the name of the candidate and the dates of validity. Proof containing a verification code must not fail verification.
PostDocs don’t qualify for student discount!
Students applying to the Volunteers’ programshould not register and pay BEFORE the notification from the Volunteers’ Chairs, otherwise processing fee of USD 100 shall apply!
International Workshop on Sustainable Transition with AI
Empowering Global and Local Sustainability
Designed for IJCAI 2024 on Jeju Island, the “Sustainable Transition with AI (STAI)” workshop is a full-day event that explores the pivotal role of Artificial Intelligence (AI) in advancing global and local sustainability initiatives. STAI will spotlight the innovative use of Natural Language Processing (NLP), Computer Vision (CV), agents, data science, and Machine Learning (ML) in scrutinizing and enhancing sustainability communications.
STAI represents a critical step forward in the pursuit of sustainable and ethical practices in the AI era. The workshop extends beyond traditional applications of AI, encompassing a broader spectrum of implications on how businesses, especially smaller entities, can navigate the challenges of sustainability with the aid of AI. It is an endeavor to empower participants with the knowledge and tools to drive an era of transparency, accountability, and sustainable growth, emphasizing the pivotal role of AI in forging a more sustainable and equitable world.
We invite AI researchers, data scientists, social scientists, companies of all sizes, and global and local policymakers to join us at STAI to forge an AI-assisted pathway towards sustainability.
Key Dates
All deadlines are specified in AoE (Anywhere on Earth).
