[CFP] Call for Participation in Workshops @ ICAIF 2025 in Singapore, 15 - 18 Nov
Fengbin Zhu
https://icaif25.org/workshops/
W1: AI and Data Science for Digital Finance
Organizers: Stephen Chan, Yuanyuan Zhang, Jeffrey Chu, Yuzhou Chen
Description: The workshop theme is AI and Data Science for Digital Finance: Transforming Markets, Assets, and Inclusion. We invite contributions that explore the development and application of AI, machine learning (ML), deep learning, large language models (LLMs), network analysis, and advanced data science methods in digital finance and financial services.
Website: https://sites.google.com/view/ai4df/home
Submission Site: https://easychair.org/my/conference?conf=ai4df
W2: AI for Finance Symposium | The 2nd Workshop on LLMs and Generative AI for Finance
Organizers: Jacob Chanyeol Choi, Yoon Kim, Alejandro Lopez Lira, Atlas Wang, Dhagash Mehta, Igor Halperin, Andrew Chin, Edward Tong, Yongjae Lee, Joo Lee, Sy Bor Wang, V. Zach Golkhou, Chee Seng Chan, Lixin Fan, Georgios Papaioannou
Description: The AI for Finance Symposium brings together researchers, practitioners, and industry leaders to explore the impact of large language models (LLMs) and generative AI on financial applications. The workshop highlights advances in multi-agent systems, retrieval-augmented generation, fine-tuning, prompt engineering, and NLP for unstructured financial data. It aims to bridge computer science innovations with the needs of finance and accounting, fostering collaboration between academia and industry.
Website: ai4f.org
Submission Site: https://openreview.net/group?id=ACM.org/ICAIF/2025/Workshop/AI4F#tab-your-consoles
W3: Workshop on Rethinking Financial Time-Series
Organizers: Yoontae Hwang, Yongjae Lee, Zhangyang Wang, Qingsong Wen, Ming Jin, Stefan Zohren, Dhagash Mehta, Yaxuan Kong, Changhee Lee, Jaeho Kim, Hao Ni
Description: Financial time-series analysis sits at the epicentre of today’s algorithmic markets. However, its core foundations remain unsettled; the heavy-tailed noise, abrupt regime shifts, and market-microstructure frictions inherent to financial data continue to defy standard modelling assumptions. Ignoring these fundamentals has led to models that are often brittle in practice. Simultaneously, the field is being reshaped by new frontiers in data and modelling. The proliferation of cross-modal signals from millisecond order-book updates and satellite feeds to generative-AI-curated news is overwhelming traditional pipelines. This data deluge has spurred the rise of large-scale foundation models, challenging us to reconcile immense scale with statistical soundness and avoid creating sophisticated yet unreliable black boxes. This workshop provides a forum to confront these questions head-on. We solicit contributions that re-evaluate foundational principles, push the frontiers of model development, or chart future research paths. We welcome submissions on principled learning for volatile data, robustness and distribution shifts, novel benchmarks and evaluation protocols, case studies of model failures, and methods for causal inference or interpretability.
Website: https://icaif25-rfts.github.io/
Submission Site: https://openreview.net/group?id=ACM.org/ICAIF/2025/Workshop/RFTS&referrer=%5BHomepage%5D(%2F)#tab-your-consoles
W4: XAI-FIN-2025: International Joint Workshop on Explainable AI in Finance: Achieving Trustworthy Financial Decision-Making
Organizers: Fabrizio Russo, Ranjan Satapathy, Francesca Toni, Song Yuting, Junqi Jiang, Fei Gao, Rick Goh, Andreas Joseph, Gianmarco Mengaldo, Mark Somers
Description: Explainable AI (XAI) forms an increasingly critical component of operations undertaken within the financial industry, brought about by the growing sophistication of state-of-the-art AI models and the demand that these models be deployed in a safe and understandable manner. Currently, there is no industry standard consensus on which XAI techniques are appropriate to use within the different parts of the financial industry – or if indeed the current state-of-the-art is sufficient to satisfy the needs of all stakeholders. This workshop aims to bring together academic researchers, industry practitioners and financial experts to discuss the key opportunities and focus areas within XAI – both in general and to face the unique challenges in the financial sector.
Website: https://sites.google.com/view/2025-workshop-explainable-ai/home
Submission Site: https://easychair.org/conferences/?conf=xaifin2025
W5: AI for Resilient & Responsible DeFi Dynamics (AI-R2D2)
Organizers: Oshani Seneviratne, Zachary Feinstein, Wei Cai
Description: Decentralized Finance (DeFi) is reshaping financial markets with promises of transparency and efficiency, but it also introduces unprecedented risks: volatility, composability hazards, and vulnerabilities in smart contracts. Addressing these challenges requires advanced analytical and decision-making tools that go beyond conventional approaches. The AI for Resilient, Responsible DeFi Dynamics (AI-R2D2) workshop brings together researchers and practitioners to explore how AI can strengthen the DeFi ecosystem. As the first workshop dedicated to this intersection, it offers a timely forum for researchers and practitioners to discuss AI-driven approaches for building DeFi systems that are robust, ethical, and sustainable.
Website: https://ai-r2d2.github.io
Submission Site: https://easychair.org/conferences?conf=air2d2
W6: AI Meets Quantitative Finance: Stochastic Methods as a Two-Way Bridge
Organizers: Chi Seng Pun, Phillip Yam
Description: This workshop explores a two‑way dialogue: how advances in AI (deep learning, RL, generative models) can push the frontier of financial modeling, and how stochastic analysis tools (BSDEs, stochastic control, mean‑field games, risk‑sensitive optimization) can improve the design, interpretability, and robustness of AI methods in finance.
Website: https://personal.ntu.edu.sg/cspun/ICAIF25-AIQuant.html
Submission Site: https://personal.ntu.edu.sg/cspun/ICAIF25-AIQuant.html#submit
W7: AI for Financial Inclusion, Risk Modeling and Resilience in Emerging Markets
Organizers: Dhagash Mehta, Yongjae Lee, Arman Khaledian, Chimwemwe Chipeta, Susan Thomas, Ganesh Mani
Description: This workshop will focus on the use of artificial intelligence (AI) in enhancing financial inclusion, building robust risk models, and fostering economic resilience across emerging markets. It will emphasize AI applications in underbanked and data-poor regions by leveraging non-traditional data sources and inclusive technologies. Key themes include: AI-based credit scoring using mobile, satellite, and social data; Digital public infrastructure (e.g., India Stack, Aadhaar, CBDCs); Gender-aware algorithmic systems and fairness in financial technologies; Culturally sensitive and multilingual AI systems for finance; Responsible innovation and regulation in emerging economies; Challenges in applying LLMs in multilingual and non-English speaking markets; AI for transparency in emerging market investments. This workshop is aligned with ICAIF’s focus on AI in financial services, with a unique lens on inclusive innovation and resilience in underserved regions.
Website: https://icaif25-finrem.framer.website/
Submission Site: https://openreview.net/group?id=ACM.org/ICAIF/2025/Workshop/FinREM
W8: AI for Financial Fraud Detection & Prevention
Organizers: Lavanya Basavaraju, Dhagash Mehta, Leman Akoglu, Saurabh Nagrecha, Yue Zhao, Eren Kurshan
Description: This workshop will explore the cutting-edge artificial intelligence and machine learning approaches for combating financial fraud, addressing one of the most critical challenges that financial institutions face. Participants will gain both theoretical understanding and practical insights into AI techniques specifically tailored for fraud detection and prevention. The workshop aims to tackle financial sector complexities including managing vast, imbalanced datasets where fraud is rare, adapting to evolving threats, ensuring model interpretability for compliance, and protecting sensitive financial data privacy. The workshop will feature research, applications, and case studies from banking, fintech, payment processing, and cryptocurrency sectors demonstrating real world AI implementation, illustrating both opportunities and challenges across different organizational and regulatory contexts.
Website: https://sites.google.com/view/icaif-fraud-detection-workshop/home
W9: Women in AI and Finance: Cultivating Mentorship, Encouraging Growth
Organizers: Rachel Chung, Lizi Liao, Candice You, Huanhuan Zheng, Zhen Zeng
Description: In a world increasingly shaped by AI, finance stands out as a transformative sector. Despite its progressive nature, women often encounter hurdles that impede career growth. This workshop empowers early-career professionals through engaging learning and networking opportunities. Emphasizing mentorship and collaboration, it features insights from successful women leaders. Participants engage in open discussions on career challenges, benefit from mentorship experiences, and build meaningful professional relationships. Ultimately, the workshop aims to cultivate a diverse, inclusive community to navigate AI’s future in finance.
Website: https://sites.google.com/view/icaif-women-ai-finance-2025/home
Workshop Chairs
Ke-Wei Huang (National University of Singapore)
Stevan Rudinac (University of Amsterdam)
Contact: worksho...@icaif25.org