Krzysztof Kutt
Papers
1
Total Citations
191
H-Index
1
About
Krzysztof Kutt is a prominent researcher in artificial intelligence, with a core focus on explainable AI (XAI), machine learning, and deep learning. His most influential work, the 2023 paper "Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends," has already garnered 191 citations, establishing him as a key voice in making complex AI systems transparent and trustworthy. Kutt’s research addresses the critical challenge of interpreting deep neural networks, which, while powerful, often operate as "black boxes." By advancing computational XAI methods, he helps bridge the gap between high-performance AI and human understanding, enabling safer deployment in sensitive fields like medicine and autonomous systems. His contributions extend beyond theory into practical applications, demonstrating how explainability can be integrated into real-world AI pipelines. With a growing citation record and a focus on one of AI’s most urgent problems—trust and accountability—Kutt is shaping how researchers and practitioners approach model interpretability, making his work essential reading for anyone navigating the future of responsible artificial intelligence.
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Top Papers
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