Conference Information

ICAIF 2026: ACM International Conference on AI in Finance

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ICAIF
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Submission Date:
2026-08-02
Notification Date:
2026-09-27
Conference Date:
2026-11-14
Location:
Milan, Italy
Years:
Viewed: 24701   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

51.4 / 100
Ranked #1,208 of 5,645 conferences · Top 22%

#7 of 71 in Management & Social Sciences

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
56
Community attention (10%)
22
Public record completeness (15%)
70

Inputs used: Editions on record: 7 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 7

Missing from the public record: Historical acceptance rates (+4.5)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-08-31

Call For Papers

ICAIF 2026 (ACM International Conference on AI in Finance) is an academic conference held in Milan, Italy on 2026-11-14. The paper submission deadline is 2026-08-02. Acceptance notifications are sent on 2026-09-27.

Areas of Interest ICAIF '26 welcomes high-quality submissions demonstrating the application of AI techniques to real-world financial problems. Generative AI & Foundation Models Generative AI, simulation, synthetic data generation, and foundation models for financial decision-making. AI Agents & Reinforcement Learning AI agents, multi-agent systems, reinforcement learning, sequential decision-making, meta-learning, and transfer learning. NLP & Multimodal Analysis Natural language processing and multimodal financial data analysis including text, image, time series, and audio. Trustworthy & Responsible AI Explainability, ethics, fairness, security, privacy, AI governance, computational regulation, and compliance. Risk Management & Fraud Detection AI-driven risk management, fraud detection, robustness, uncertainty quantification, and model validation and calibration. Trading & Asset Management Trading strategies, asset pricing, robo-advising, investment recommendations, financial time series analysis, and factor models. Credit & Customer Analytics Customer behavior analysis, credit decisioning, fraud detection for credit cards and mortgages, and early detection of firm defaults. Blockchain & DeFi Blockchain technology, cryptocurrency, federated learning, and decentralized finance applications. Financial Inclusion & ESG AI-driven financial inclusion initiatives and environmental, social, and governance (ESG) investing applications.
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