ICAIF '26 — 7th ACM International Conference on AI in Finance
by ACM, hosted by Bocconi University, University of Milano-Bicocca and Politecnico di Milano
ACM's peer-reviewed conference on AI and machine learning in finance, in Milan
About This Event
ICAIF '26, the 7th ACM International Conference on AI in Finance, runs 14-17 November 2026 at Bocconi University in Milan, Italy. It is ACM's peer-reviewed venue for work at the intersection of artificial intelligence and finance, and this edition is hosted jointly by Bocconi, the University of Milano-Bicocca and Politecnico di Milano with support from Intesa Sanpaolo IMI Corporate & Investment Banking. The programme runs four days: two workshop and tutorial days followed by two main conference days, with competitions alongside the paper track. Organisers expect over 550 participants from the global research and finance community. Submissions closed on 9 August 2026 with author notification on 27 September 2026, and the call spans generative AI and foundation models for financial decision-making, AI agents and multi-agent systems, reinforcement learning, financial NLP, AI governance and computational regulation, fraud detection and risk management.
Key Dates & Deadlines
- Author notification
- Early-bird registration deadline
- Standard registration deadline
At a Glance
- Date
- November 14–17, 2026
- Location
- Bocconi University, Milan, Italy
- Format
- Hybrid
- Event Type
- Conference
- Status
- Upcoming
- Expected Attendance
- 550+
- Pricing
- Paid
- Organizer
- ACM, hosted by Bocconi University, University of Milano-Bicocca and Politecnico di Milano
- Added
- Aug 30, 2026
- Updated
- Aug 30, 2026
Topics & Focus Areas
Who Should Attend
- ✓Chief AI Officer
- ✓Head of Quantitative Research
- ✓CTO (financial services)
- ✓Head of Model Risk
- ✓Machine Learning Engineer
- ✓Data Science Lead
- ✓Academic researcher
Why Attend
For a CIO or head of AI at a bank, insurer or asset manager, ICAIF is where the methods behind next year's production systems get argued over before vendors package them. Four days buy a working view of what foundation models, agentic architectures and reinforcement learning actually deliver on financial data, what the failure modes are, and where model-risk and regulatory lines are being drawn. The room is unusually mixed: Bocconi, Milano-Bicocca and Politecnico researchers alongside quantitative and engineering staff from European institutions, so the hiring pipeline and research partnerships matter as much as the sessions. The separately priced workshop and tutorial days are where the implementation detail lives.
Event Features
- ✓Workshop days (Days 1-2), separately ticketed
- ✓Tutorials programme
- ✓Main conference paper track (Days 3-4)
- ✓Competitions track
- ✓Welcome Reception (EUR 90 ticket)
- ✓Conference Banquet (EUR 120 ticket)
- ✓Four-day virtual attendance option
- ✓CFP topic area: generative AI, simulation and synthetic data generation for finance
- ✓CFP topic area: AI agents, multi-agent systems and reinforcement learning
- ✓CFP topic area: AI governance, computational regulation and compliance
What Makes This Unique
- ★ACM peer-reviewed: papers are refereed and published in the ACM Digital Library, unlike the vendor-programmed AI-in-finance summit circuit.
- ★Hosted jointly by three Milan universities (Bocconi, Milano-Bicocca, Politecnico) with Intesa Sanpaolo IMI Corporate & Investment Banking behind it, so the industry side is a European bank rather than a sponsor booth.
- ★Workshop and tutorial days are sold as a separate pass, so practitioners can buy the implementation content without the research track.
- ★A EUR 100 virtual pass covers all four days at the same price for members, non-members and students, which makes remote team attendance unusually cheap for an ACM conference.
- ★Competitions run alongside the paper programme.
Industries Represented
Pricing Details
Early-bird rates run until 24 October 2026; standard 25 October - 13 November 2026; late/onsite 14-17 November. Early-bird prices in EUR excluding 22% VAT, quoted as ACM member / non-member / student: one day EUR 180 / 230 / 120; workshop days (1-2) EUR 220 / 280 / 170; main conference (3-4) EUR 350 / 400 / 300; four-day passport EUR 480 / 530 / 370. A four-day virtual pass is EUR 100 for everyone. Welcome reception (EUR 90) and conference banquet (EUR 120) are ticketed separately.
Organizer
ACM, hosted by Bocconi University, University of Milano-Bicocca and Politecnico di Milano
icaif2026.org/Frequently Asked
- When is ICAIF '26?
- ICAIF '26 takes place November 14–17, 2026 in Milan, Italy.
- Where is ICAIF '26 held?
- ICAIF '26 is held in Milan, Italy. The event format is hybrid.
- What is the ICAIF '26 submission deadline?
- The next ICAIF '26 deadline is author notification on Sep 27, 2026. Remaining dates: Early-bird registration deadline — Oct 24, 2026; Standard registration deadline — Nov 13, 2026.
- How much does ICAIF '26 cost?
- ICAIF '26 is paid. Early-bird rates run until 24 October 2026; standard 25 October - 13 November 2026; late/onsite 14-17 November. Early-bird prices in EUR excluding 22% VAT, quoted as ACM member / non-member / student: one day EUR 180 / 230 / 120; workshop days (1-2) EUR 220 / 280 / 170; main conference (3-4) EUR 350 / 400 / 300; four-day passport EUR 480 / 530 / 370. A four-day virtual pass is EUR 100 for everyone. Welcome reception (EUR 90) and conference banquet (EUR 120) are ticketed separately.
- Who should attend ICAIF '26?
- ICAIF '26 is aimed at Chief AI Officer, Head of Quantitative Research, CTO (financial services), Head of Model Risk, Machine Learning Engineer, Data Science Lead, Academic researcher.
- What topics does ICAIF '26 cover?
- ICAIF '26 covers Generative AI in finance, Foundation models for financial decision-making, AI agents and multi-agent systems, Reinforcement learning, Financial NLP and multimodal data analysis, AI governance, regulation and compliance, Fraud detection and risk management, Explainability, fairness and trustworthy AI.
Sources
This page was written from 4 sources, 1 on domains other than icaif2026.org.
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