Advances in Financial AI: Innovations, Risk, and Responsibility in the Era of LLMs
Name
3746252.3761591.pdf
Size
391.05 KB
Format
Adobe PDF
Checksum (MD5)
3e2902a7ce5ae6e262858f7860d86d19
Author(s)
Lee, Yongjae
Mehrasa, Nazanin
Choi, Chanyeol
Chen, Chung-Chi
Mehta, Dhagash
Zohren, Stefan
Kim, Yoon
Lee, Chulheum
Lee, Yeonhee
Oh, Eunsook
Date Issued
November 10, 2025
Publisher
ACM|Proceedings of the 34th ACM International Conference on Information and Knowledge Management
Citation
Yongjae Lee, Nazanin Mehrasa, Chanyeol Choi, Chung-Chi Chen, Dhagash Mehta, Stefan Zohren, Yoon Kim, Chulheum Lee, Yeonhee Lee, and Eunsook Oh. 2025. Advances in Financial AI: Innovations, Risk, and Responsibility in the Era of LLMs. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM '25). Association for Computing Machinery, New York, NY, USA, 6912–6915.
Version
Final published version
Abstract
The finance sector is seeing a rapid increase in the application of machine learning and AI, with Large Language Models (LLMs), ESG (Environmental, Social, and Governance) investing, and AI Safety significantly reshaping the field. This workshop focuses on how these advancements intersect with core financial AI applications. We will foster interdisciplinary discussion on applying LLMs to finance, addressing challenges in multilingual and non-English markets like Korea. The event will also highlight the integration of ESG signals into algorithmic decision-making and explore AI Safety, emphasizing reliability, fairness, and explainability for AI systems in regulated financial environments. By bringing together experts from academia, industry, and regulatory bodies, the workshop aims to stimulate discussions on practical issues, ethical dilemmas, and cutting-edge research shaping financial AI's future. We welcome submissions that combine technical rigor with societal relevance in AI-driven financial decisions.
Description
CIKM ’25, Seoul, Republic of Korea
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3746252.3761591
