Call for Participation

ACM International Conference on AI in Finance (ICAIF-2020)

Call for Participation

Advances in Artificial Intelligence are being felt throughout society and our economy, and some of the most significant impacts are being felt in the domain of finance: Including financial markets, financial services, and the global financial system more broadly. This new scholarly peer-reviewed conference aims to bring together researchers from a variety of disciplines to share technical advances and insights on the effects of AI on the Finance world. 

The inaugural ACM conference has founding corporate financial support from JPMorgan Chase. We invite participation from academia, government, regulatory agencies, financial institutions, NGOs and other stakeholders in the AI and Finance community. Please join us for this event in New York City October 15-16, 2020!

With best regards from the ICAIF Steering Committee:

  • Tucker Balch, J.P. Morgan AI Research (Program Chair)
  • Ayeh Bandeh-Ahmadi, U.S. Department of the Treasury*
  • Manuela Veloso, J.P. Morgan AI Research
  • Michael Wellman, the University of Michigan
  • Michael Wooldridge, Oxford University

Can you help? In order to make this conference an enduring success, we invite the commitment of senior and junior members of the community from a diversity of institutions to serve on review committees and fill organizational roles. Please email if you can help. Please email if you can help.

Important dates

  • Abstract Submission: Tuesday 14 April 2020
  • Full Paper Submission: Friday 17 April 2020
  • Author Notification: Wednesday, 24 June 2020
  • Camera-ready deadline: Wednesday, 26 August 2020
  • Main Conference: Thursday-Friday, 15-16 October 2020

Topic areas: ICAIF-2020 invites high quality research paper submissions in the following topic areas:

  • Financial systems as multi-agent systems.
  • AI techniques for simulation of markets, economies, and other financial systems.
  • Computational game-theoretic analysis of financial scenarios.
  • Ethics and fairness of AI in Finance.
  • Explainability and trustworthiness of AI systems used in Finance.
  • Infrastructure to support AI research in Finance.
  • Robustness, security, and privacy of AI systems in Finance.
  • Computational regulation and compliance in Finance.
  • Machine Learning for pricing, trading, and portfolio management.
  • Models of financial behavior including borrowing and for fraud prevention.

For the latest information

Submission instructions: [to be announced]

*Note: Participation on the steering committee does not constitute or imply the endorsement, recommendation or favoring of the U.S.G. or the U.S. Department of the Treasury.