FINFM · AAAI 2027 WORKSHOP
Foundation Models and
Generative AI for Finance
A meeting point for the people building, evaluating, and deploying the next generation of financial AI.
Organizer affiliations
01 / THE WORKSHOP
Finance is a demanding testbed for AI. Markets shift, evidence is noisy, and decisions have real consequences.
FinFM brings together machine learning researchers, finance academics, and industry practitioners to examine what foundation models and generative AI can deliver in financial settings—and how to evaluate them rigorously.
Our scope spans financial language models, time-series and order-book models, multimodal systems, and AI agents. We connect advances in model design with reproducible evidence and the challenges of real-world deployment.
Leakage-free benchmarks and reproducible, cost-aware evaluation.
Open discussion across academia, industry, and financial institutions.
A planned evaluation checklist and curated benchmark resources.
02 / RESEARCH DIRECTIONS
We welcome work across the design, evaluation, and deployment of financial AI, including the following topics.
Learning the language of financial markets.
From information to grounded decisions.
Making progress measurable and reliable.
03 / CALL FOR PAPERS
We welcome methodological advances, careful empirical studies, useful datasets, and lessons from deployment.
Up to 7 pages, plus references, in AAAI format. Submissions should advance the design, understanding, evaluation, or application of foundation models and generative AI in finance.
A dedicated track for benchmarks, datasets, and evaluation resources that help the community assess financial AI more rigorously. Detailed track instructions will follow.
The OpenReview link will appear here when submissions open.
Submissions are planned to undergo double-blind review on OpenReview, with at least two reviews and an organizer meta-review per paper. Please prepare an anonymized manuscript.
All accepted papers are planned to be presented as posters, with selected oral presentations and a benchmark spotlight. The workshop is non-archival by default; an opt-in online proceedings volume is planned. Final arrangements will be announced.
A Best Paper Award and a Best Benchmark Award are planned to recognize outstanding research and open resources. Award details will be announced.
04 / THE CONVERSATION
A full-day format is proposed. The final date, session times, and speaker lineup will be announced here.
Perspectives on the frontiers of financial foundation models.
Speakers to be announcedResearch insights and practical lessons from academia and industry.
Speakers to be announcedOral presentations, open resources, and a poster session.
Details forthcomingValidating generative and agentic systems in production.
Panelists to be announcedThe detailed schedule will be published once sessions and speakers are confirmed.
05 / ORGANIZING COMMITTEE
Connecting expertise in machine learning, quantitative finance, financial data science, and responsible AI.
University of Oxford
Program chair · Primary contact
FinHorizons Foundation
Industry outreach & sponsorship
University of Oxford
Senior advisor
Pusan National University
Submissions, website & publicity
Squirrel Ai Learning
AAAI coordination · Primary contact
Building on a shared research community.
ICAIF 2025 · Rethinking Financial Time-Series06 / PROGRAM COMMITTEE
We are assembling a program committee spanning machine learning, computational finance, and financial NLP to support thoughtful, rigorous peer review.
Share your research background and paper-bidding capacity to express your interest in joining the committee.
Join the Program CommitteeMembership will be confirmed separately. Confirmed members and affiliations will be announced here.
LET’S ADVANCE FINANCIAL AI
For workshop, submission, and participation inquiries,
get in touch with the organizing committee.