The Association for Computing Machinery (ACM) International Conference on AI in Finance (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 ACM. We invite participation from academia, government, regulatory agencies, financial institutions, NGOs, and other stakeholders in the AI and Finance community.

ICAIF ’23 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
Large Language Models
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


Paper Submission & Templates

Papers must be submitted no later than Monday, July 24 2023 and should be submitted via CMT (submission portal will open shortly on the website). Meanwhile, please use the template below to prepare your paper.

Papers must be formatted according to ACM guidelines (see below) and must be no longer eight (8) pages in total, including all figures and references. Authors are required to submit their electronic papers in PDF format. Over-length papers will be rejected without review. Submissions must be self-contained. ICAIF ’23 will not accept any supplementary materials.

Paper templates are available here: https://www.acm.org/publications/proceedings-template

Word Authors should refer to the section “Word Authors.”
Latex Authors should refer to the section “LaTex Authors” and use the latex package “LATEX (Version 1.90)” and sigconf templates. Don’t refer to the section for “Overleaf.”

Paper Review

ICAIF ’23 will follow a double-blind review process (authors’ identities will not be known to the reviewers, and the reviewers’ identities will not be known to the authors). Accordingly, submitted papers should not reveal the identity of the authors, either by citation or other obvious mention of previous work. There will be no rebuttal period.
Submission Policies

Each individual author is limited to no more than twelve (12) submissions to ICAIF. The list of authors provided at submission time is final. Authors may not be added to, or removed from, papers following submission. Authors are also expected to participate as reviewers.

For full paper submissions, ICAIF is a peer-reviewed archival venue. ICAIF will not accept any paper that, at the time of submission is under review for, already published in, or already accepted for publication in, a journal or other archival publication. As a guideline, consider publications with a DOI, ISBN, or ISSN as archival. Questions about submission eligibility should be referred to the program chair in advance of the submission deadline.

Additionally, authors should not submit their papers to other archival venues during the ICAIF review period. Multiple submission is grounds for immediate rejection of the submitted paper and referral for ethical review.

Permissible pre-publication: Submitted papers may have appeared previously as a technical report or in other non-archival venues. Specific examples of permissible venues include ICML workshops, NeurIPS workshops, AAAI workshops, and arXiv. In order to preserve anonymity for review, however, authors must not cite such papers. Questions concerning acceptable pre-publication venues should be directed to the Program Chair.

All submissions will be treated with strict confidentiality until published.
Get in Touch

General chair: generalchair@ai-finance.org
Program chairs: programchair@ai-finance.org