Meisam Booshehri
Papers
1
Total Citations
6
H-Index
1
About
Meisam Booshehri is a researcher at the forefront of Explainable Artificial Intelligence (XAI), with a particular focus on the social and interactive dimensions of machine reasoning. His work reimagines explanation not as a one-way output, but as a co-constructive process—a dynamic, cooperative dialogue between an explainer and an explainee. In his highly regarded 2024 paper, "Towards a Computational Architecture for Co-Constructive Explainable Systems," which has already garnered 6 citations, Booshehri lays the groundwork for intelligent systems that can engage in genuine, two-way explanatory exchanges. This contribution is pivotal for developing robots and AI that are not only transparent but also responsive to human understanding and context. By bridging computational architecture with theories of human communication, Booshehri is helping to shape a future where AI can justify its decisions in a manner that is truly collaborative and intelligible. His research is essential reading for anyone interested in building AI that earns trust through conversation, not just computation.
Research Focus
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Top Papers
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