Mareike Hartmann

German Research Centre for Artificial Intelligence

Papers

Total Citations

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About

Mareike Hartmann’s research lies at the intersection of natural language processing, explainable AI, and narrative generation. Her most-cited work, "XAINES: Explaining AI with Narratives" (2022), introduces a groundbreaking framework that transforms opaque AI decisions into coherent, human-readable stories—bridging the gap between technical model outputs and user comprehension. This contribution addresses a critical challenge in trustworthy AI: making complex systems interpretable without sacrificing depth. With 10 citations in a short time, the paper signals growing influence in the emerging field of narrative-based XAI. Hartmann’s broader work explores how language models can generate structured explanations that align with human cognitive patterns, advancing both transparency and user trust in AI. Her achievements include pioneering the integration of narrative theory into AI explainability, a novel approach that has attracted interdisciplinary attention from computer science, linguistics, and human-computer interaction. For students and researchers, Hartmann’s research offers a compelling vision: AI that not only performs tasks but also tells us why—making her a key voice in shaping how we communicate with intelligent systems.