The Association for Computing Machinery (ACM) International Conference on AI in Finance (ICAIF) is an International peer-reviewed conference that aims to bring together researchers from academia, government, and industry to share challenges, advances, and insights on the impact of Artificial Intelligence and Machine Learning on Finance. ICAIF'26 will take place in Milan between 14-17 November 2026.
We invite participation from academia, government, regulatory agencies, financial institutions, NGOs, and other stakeholders in the AI and Finance community.
ICAIF '26 invites high-quality research paper submissions that connect AI and Finance from both methodological and applicational perspectives. Details on paper submission are outlined below, including important dates, topic areas, submission guidelines (including templates & formatting), paper review, and policies.
AOE = Anywhere on Earth (UTC-12)
| Subject | Date |
|---|---|
| Paper Submission Deadline | August 2, 2026 |
| Author Notification | September 27, 2026 |
| Main Conference | 14-17 November 2026 |
ICAIF '26 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:
Potential applications of interest may include, but are not limited to:
Papers must be submitted via CMT. For submission information, please visit https://cmt3.research.microsoft.com/ICAIF2026.
Papers must be formatted according to ACM guidelines (see below) and must be no longer than eight (8) pages in total (when in two-column signconf format), 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 '26 will not accept any supplementary materials/appendices.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
ICAIF '26 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. Self-citation is permitted in the third person, e.g. "Balch et al. [cite] identified…", but not "In our prior work [cite], we identified…" There will be no rebuttal period.
Each individual author is limited to no more than six(6) 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 if asked.
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. Questions about submission eligibility should be referred to the Program Chairs in advance of the submission deadline.
Additionally, authors should not submit their papers to other archival venues during the ICAIF review period. Multiple submissions are grounds for immediate rejection of the submitted paper and referral for ethical review.
Permissible pre-publication: Submitted papers may have appeared previously as technical reports or in other non-archival venues. Specific examples of permissible venues include arXiv or the workshops at AAAI, KDD, ICML, or NeurIPS. 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 Chairs.
All submissions will be treated with strict confidentiality until published.
ICAIF'26 is an in-person conference. All accepted papers to the main track and workshops are expected to be presented in-person. We anticipate that at least one author from each accepted paper will attend the conference in person to deliver the paper and address audience questions during the Q&A session. No pre-recorded videos will be accepted.
For questions about paper submissions and the program.
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