Olesja Lammert
Papers
1
Total Citations
6
H-Index
1
About
Olesja Lammert is a rising scholar in Explainable Artificial Intelligence (XAI), with a focused interest in the interactive, human-centered processes that underpin how machines and people build understanding together. Her key research areas include co-constructive explainability, computational architectures for human-AI interaction, and the design of intelligent systems that can justify their decisions in a collaborative manner. Lammert’s most cited work, “Towards a Computational Architecture for Co-Constructive Explainable Systems” (2024, 6 citations), introduces a novel framework that reimagines explanation not as a one-way transmission of information, but as a dynamic, cooperative dialogue between an explainer and an explainee. This contribution is significant because it shifts the XAI paradigm from static, post-hoc explanations to interactive, iterative processes that more closely mirror human reasoning and communication. By formalizing the co-construction of explanations, Lammert’s research lays the groundwork for more transparent, trustworthy, and user-adaptive AI systems. Though early in her career, her work is already gaining traction among researchers seeking to bridge the gap between algorithmic transparency and genuine human understanding, marking her as a promising voice in the future of responsible AI.
Research Focus
Key Achievements
Top Papers
- 1