Łukasz Górski, PhD

Assistant Professor
Łukasz Górski, PhD
l.gorski@icm.edu.pl

ORCID 0000-0003-0871-6575

Bio

Assistant Professor at the Interdisciplinary Centre for Mathematical and Computational Modelling (ICM), University of Warsaw. He holds doctorates in Technical Sciences with a specialization in Computer Science (2017) and in Law (2019). His research focuses on Artificial Intelligence and Law (AI & Law), with a particular emphasis on Explainable AI (XAI) and legal knowledge representation.

He is the author of numerous publications in renowned journals. He has led and participated in international research projects, including those funded by the Notre Dame–IBM Tech Ethics Lab and the EU Horizon 2020 framework. In his academic teaching, he conducts courses on Big Data processing and Natural Language Processing (NLP), and serves as an advisor for Master’s theses in the field of AI. He is a recipient of the HPC Challenge Class 2 Award for Code Elegance (Supercomputing ’14) and the Rector’s Award from the University of Warsaw.

Selected Projects
  • Human Exposome Assessment Project

    EU, HORIZON 2020

  • Domain-Specific Legal Explainable Artificial Intelligence for AI Auditing

    IBM-Notre Dame Tech Ethics Lab (2023)

  • Exploring Local Post-Hoc Explanation Methods in Tax-Related AI Systems

    IBM-Notre Dame Tech Ethics Lab (2022)

Selected Publications

  • A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave

    J. Bracher et al.

    Nature communications 12 (1)/2021

    DOI: https://doi.org/10.1038/s41467-021-25207-0

  • Explainable artificial intelligence, lawyer's perspective

    Ł. Górski, S. Ramakrishna

    ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law

    DOI: https://doi.org/10.1145/3462757.3466145

  • Exploring explainable AI in the tax domain

    Ł. Górski et al.

    Artificial Intelligence and Law (2025)

    DOI: https://link.springer.com/article/10.1007/s10506-024-09395-w

  • Right to Explanation in Large Language Models: Lessons from the European Union AI Act and General Data Protection Regulation

    Ł. Górski, S. Ramakrishna

    IT Professional 27 (1)/2025

    DOI: https://doi.org/10.1109/MITP.2024.3518917

  • Challenges in adapting LLMs for transparency: Complying with art. 14 EU AI act

    Ł. Górski, S. Ramakrishna

    (w:) G. Sileno et al. (red.), Legal Knowledge and Information Systems. JURIX 2023: The Thirty-sixth Annual Conference, Maastricht, the Netherlands, 18–20 December 2023, 275 – 280

    DOI: http://dx.doi.org/10.3233/FAIA230974

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