Generative AI in Finance

This workshop aims to foster cross-disciplinary collaboration at the intersection of generative AI and finance, a high-stakes domain where the integration of domain expertise is essential to the safe and effective deployment of machine learning technologies. Recent advances in generative models—ranging from large language models to diffusion and score-based generative architectures—have opened new frontiers for applications in finance, such as financial modeling, stress testing, scenario generation, automated financial services, and decision-making under uncertainty.

The workshop will highlight theoretical advances, practical implementations, new opportunities, and open challenges that arise when adapting generative 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 generative AI tailored to the needs of finance and risk management.