Dr. Markovich’s researches computational legal theory and studies its application in AI. Her focus areas are legal knowledge representation, normative multi-agent systems, deontic logic, machine ethics, and XAI.
Dr. Markovich has led and participated in research projects from highly theoretical and foundational ones, aiming to develop new formal models for fundamental conceptual frameworks, to more applied ones, seeking, for instance, NLP solutions for extracting structural and semantic information from legislative texts. Her main research interests have led her to projects revolving around the computational models of fundamental legal concepts and structures, and their application in AI. She, thus, has worked extensively on computational rights theory, due to which she was the lead researcher of the Deontic Logic for Epistemic Rights (DELIGHT) FNR OPEN grant.
Currently, she is highly interested in the computational reconstruction of judicial discretion; she is the PI of the DISCREASON – Formal Analysis of Discretionary Reasoning – Deontic Logic and Formal Argumentation for Modeling Discretionary Decision Making in Legal Cases project with a Marie Speyer Excellence grant. She also co-leads the Ownership, Authorship and Accountability Systems in Virtual Spaces (OAASIS) project within an IAS AUDACITY grant with Dr. Katrin Becker, and she is the PI of the Reasoning and Explaining Causality and Liability through Legal AI (RECALL) project funded by FNR as a CORE.