Erman Acar

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Room L5.24, LAB42, UvA

Science Park, Amsterdam

I am a tenured assistant professor of Safe & Explainable AI in Finance at the University of Amsterdam, where I lead Finesse Lab, which is part of the SIAS group.

I am affiliated with both the Informatics Institute and the Institute of Logic, Language and Computation, where I am part of the research units NLP and Theoretical Computer Science.

I am also a founding member and co-manager of the AI4FinTech initiative, and part of the management team of the Hybrid Intelligence Centre, a large national research project across Dutch universities with more than 80 PhD students.

With over 15 years of experience in AI, my work spans symbolic reasoning, neurosymbolic systems, causality, and multi-agent systems, with a particular interest in applications of AI safety and explainable AI in financial services. My research focus is on combining machine learning with symbolic and causal methods to build AI systems that are more capable of reasoning, collaboration, and explanation.

A pretentious fun fact is that I am one of the academic great-grandchildren of both Newton and Gauss, through Hilbert, Wittgenstein, and Russell.

news

May 1, 2026 The paper accepted at IJCAI 2026: Uniform Interpolation Closure for Branching Time Temporal Logics, by Renyan Feng, Yisong Wang, Mingsen Deng, and Erman Acar.
Apr 30, 2026 The paper accepted at ICML 2026: ECSEL: Explainable Classification via Signomial Equation Learning, by Adia Lumadjeng, Ilker Birbil, and Erman Acar.
Jan 15, 2026 The paper accepted at CVPR 2026: Same Content, Different Answers: Cross-Modal Inconsistency in MLLMs, by Angela van Sprang, Laurens Samson, Ana Lucic, Erman Acar, Sennay Ghebreab, and Yuki M. Asano.
Jul 1, 2025 The paper accepted at ICML 2025: AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N, by Tianyu Zhang, Andrew Robert Williams, Phillip Wozny, Kai-Hendrik Cohrs, Koen Ponse, Marco Jiralerspong, Soham Rajesh Phade, Sunil Srinivasa, Lu Li, Yang Zhang, Prateek Gupta, Erman Acar, Irina Rish, Yoshua Bengio, and Stephan Zheng.