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! 👋