Panels

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Agentic AI in Finance—Strategic vs Non-Strategic Agents, Use Cases, Safety, and the Road Ahead

Description: Agentic AI is moving finance beyond static prediction toward systems that plan, call API and tools, and act. This panel surveys the research literature and current industry R&D, distinguishing non-strategic agents (decision or operation workflows within a firm) from strategic agents (actors interacting with markets and other agents). We will organize important research problems, real use cases and examine core challenges in safety and robustness issues. The session closes with a forward-looking research agenda aimed at bridging theory with deployable systems.

Moderator: Dr. Ke-Wei Huang, NUS

Panelists:
Professor Michael Wellman, University of Michigan
Professor Carmine Ventre, King’s College London
Professor Ganesh Mani, Carnegie Mellon University
Dr. Dhagash Mehta, Blackrock