Dimitry Mindlin
Papers
1
Total Citations
6
H-Index
1
About
Dimitry Mindlin is a rising voice in Explainable Artificial Intelligence (XAI), focusing on the dynamic, human-centered processes that make machine reasoning transparent. His key research areas include co-constructive explanation, interactive AI systems, and the computational architectures that support meaningful human-robot dialogue. In his most cited work, "Towards a Computational Architecture for Co-Constructive Explainable Systems" (2024), Mindlin redefines explanation not as a one-way broadcast from an AI to a user, but as a collaborative, iterative process—what he terms "co-construction." This perspective shifts the field from static justifications to adaptive, negotiated understanding, where explainer and explainee jointly build shared knowledge. Though early in his career, with 6 citations on this foundational paper, Mindlin’s work is already influencing how researchers design systems that listen, clarify, and respond to human curiosity. His contributions are particularly notable for bridging cognitive science and computational design, offering a blueprint for robots that can truly explain themselves. For students and researchers, Mindlin’s research opens a vital frontier: making AI not just intelligent, but genuinely communicative partners.
Research Focus
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Top Papers
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