ACM ICAIF 2026 Workshop
This workshop focuses on emerging Artificial Intelligence (AI) applications across the private markets ecosystem, including private equity, private credit, venture capital, real assets and other alternative investments.
The workshop will bring together researchers, practitioners, asset managers, allocators, data providers, and technology experts to discuss how machine learning, large language models, agentic AI, and emerging technologies can transform investment decision-making — including bringing speed, transparency and better accountability around sourcing, diligence, valuations, liquidity and risk management and operational decision-making in private markets.
Private markets are a growing area for AI in finance, but limited disclosure, inconsistent reporting, sparse transactions, and stale valuations make them difficult to analyze. Unlike many financial machine learning settings, private markets have incomplete data, scarce labels, and outcomes that may take years to observe. AI systems must combine varied evidence, track sources, quantify uncertainty, and support human judgment.
November 15, 2026 · All times are local
We invite submissions on any topics at the intersection of AI and private markets (all asset classes, broadly defined), topics of interest include, but are not limited to:
All deadlines are 11:59 PM Anywhere on Earth (AoE).
Head of Applied AI Research, BlackRock
Director, Head of Applied AI Modeling, BlackRock
Head of AI Engineering, Apollo Global Management
Head of Multi-Asset Solutions, Northern Trust Asset Management
Head of Fidelity Labs, Fidelity Investments
The page limit is 8 pages for the full version, or 4 pages for the short version, including references and appendices.
The review process is double-blind, so you should anonymize your submission.
The workshop is non-archival, so you can submit the paper elsewhere at the same time or at a later date.
