Jaroslaw Kornowicz
Papers
1
Total Citations
6
H-Index
1
About
Jaroslaw Kornowicz is a researcher at the forefront of Explainable Artificial Intelligence (XAI), with a particular focus on the dynamic, interactive processes that underpin human-machine understanding. His work redefines explanation not as a static output, but as a co-constructed dialogue between an explainer and an explainee. In his highly cited 2024 paper, "Towards a Computational Architecture for Co-Constructive Explainable Systems," Kornowicz introduces a novel framework that formalizes how intelligent systems and robots can engage in cooperative explanation-building. This contribution is pivotal for advancing transparent, trustworthy AI, moving beyond one-way transparency toward genuine mutual understanding. With 6 citations in a short time, his work is gaining rapid recognition for addressing a critical gap in XAI: the need for systems that can adapt explanations in real-time based on user feedback. Kornowicz’s research is shaping the next generation of human-centered AI, where machines do not just explain, but learn to explain better through interaction.
Research Focus
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Top Papers
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