[Apr 13] Tentative Schedule Added: The tentative workshop schedule is now available on the website. It will be finalized closer to the workshop day.
[Apr 2] Speaker and Panelist Information Updated: Details on invited speakers and panelists have been updated on the website.
[Mar 31] Travel Grant Decision Notification Released: Applicants have been notified of travel grant decisions.
[Feb 28] Workshop Date Confirmed: The workshop day is now confirmed for April 27th, 2026.
[Feb 28] Paper Notification Released: The paper notification is now out. Authors have been informed of the decisions.
[Feb 4] Deadline Extended: The paper submission deadline is extended to February 5th, 2026 (23:59 GMT).
[Jan 28] Deadline Extended: The paper submission deadline is extended to February 4th, 2026 (23:59 GMT). Original deadline: January 30th, 2026
[Jan 24] Travel Grants Announced: To promote inclusivity and broaden participation, we are offering a set of travel grants to support attendees from diverse backgrounds. More details will be shared soon.
[Jan 10] Submission Policy Updated: We have added a note that submissions are non-archival. Plus, We welcome submissions representing preliminary or ongoing work, unpublished research, work under review, or novel research.
[Jan 2] Open Review Link Released: Submission portal will open on January 5.
[Dec 15] Call for Papers Released: We are inviting submissions for original research. Deadline: 30 Jan, 2026.
[Dec 15] Website Launched: Welcome to the official website of FINAI@ICLR2026.
This workshop aims to foster cross-disciplinary collaboration at the intersection of AI and finance, a high-stakes domain where the integration of domain expertise is essential for the safe and effective deployment of machine learning technologies.
Building on last year’s successful "Advances in Financial AI: Opportunities, Innovations, and Responsible AI"workshop at ICLR 2025, this second edition will specifically focus on the emergence of agentic systems in finance. This includes autonomous or semi-autonomous agents, decision-making systems, and multi-agent interactions, and the imperative of responsibility (ethics, fairness, accountability, transparency, robustness, and regulation).
The workshop will highlight theoretical advances, practical implementations, new opportunities, and open challenges that arise when adapting agentic AI to financial systems under unique constraints, such as data sparsity, regulatory requirements, and highly non-stationary and adversarial environments.
By bringing together the computer science community, financial researchers, industry practitioners, and regulators, we aim to catalyze interdisciplinary dialogue and accelerate the responsible development of agentic AI tailored to the needs of finance and risk management.
Lavinia Ghita
NVIDIA
Sebastian Gehrmann
Bloomberg
Alejandro Lopez-Lira
University of Florida
Vincent Sunn Chen
Snorkel AI
Bhaskarjit Sarmah
Domyn
Thibaut Durand
RBC Borealis
David Rowe
Commonwealth Bank of Australia
John Doucette
Bloomberg
Ryan He
Machine Learning Software Engineer
RBC Borealis
Thank you for attending our workshop! 👋