ICAIF-22 Call for Papers

Home | Call for Papers | Call for Workshops | Submission Instructions |
Conference Committee | Contact

3rd ACM International Conference on AI in Finance (ICAIF-22)

Call for Papers

Advances in Artificial Intelligence and Machine Learning have revolutionized techniques for data processing and analysis across financial markets and services.

ICAIF is a scholarly peer-reviewed conference that aims to bring together researchers from both academia and industry to share challenges, advances, and insights on the impact of Artificial Intelligence and Machine Learning on finance. ICAIF is supported by the Association for Computing Machinery (ACM).

ICAIF 2022, in its third year, follows two successful events in 2020 and 2021 with more than 1400 participants in total. Presently ICAIF’22 is planned as an in-person event, to be held in New York on November 2-4, 2022.

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 November 2022!

Program Cochairs

Senthil Kumar (Capital One)
Rahul Savani (University of Liverpool)
Renyuan Xu (University of Southern California)

General Chair

Daniele Magazzeni (J.P. Morgan)

Important dates

  • Full Paper Submission: Wednesday, 6 July 2022
  • Workshop proposal deadline: Monday, 6 June 2022
  • Author Notification: Thursday, 1 September 2022
  • Camera-ready deadline: Thursday, 22 September 2022
  • Workshops: Wednesday 2 November 2022
  • Main Conference: Wednesday-Friday, 2-4 November 2022

Topic Areas

ICAIF’22 invites high-quality research paper submissions that connect AI and Finance from both methodological and applicational perspectives.

Methodologies should be relevant to general financial problems that may include but are not limited to:

  • Generative models and data-driven simulation
  • Reinforcement learning and federated learning
  • Meta learning and transfer learning
  • Representation learning, natural language processing, and time series prediction
  • Validation and calibration of financial models
  • Multi-agent systems and game-theoretic analysis of financial markets
  • Explainability, ethics, and fairness of AI & ML systems
  • Security, and privacy of AI & ML systems
  • Computational regulation and compliance in finance
  • Robustness and uncertainty quantification
  • Quantum computing
  • Graph theory and network analysis

Potential applications of interest may include but are not limited to:

  • Fraud detection for credit cards and mortgages
  • Early detection of firm defaults
  • Blockchain and cryptocurrency
  • Risk modeling and risk management
  • Trading (for example,optimal execution, market making, smart order routing and hedging)
  • Asset pricing
  • Robot-advising and investment recommendations
  • Forecasting of financial scenarios
  • Financial time series analysis and factor models

For the latest information

Get in touch

%d bloggers like this: