Nils Feldhus

German Research Centre for Artificial Intelligence

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About

Nils Feldhus is a researcher at the forefront of Explainable AI (XAI), with a particular focus on making artificial intelligence systems more transparent and understandable to human users. His work bridges the gap between complex AI decision-making and human comprehension, most notably through his highly cited paper "XAINES: Explaining AI with Narratives" (2022, 10 citations), which introduces innovative narrative-based approaches to AI explanation. Feldhus's research addresses a critical challenge in modern AI: as systems become increasingly pervasive in domains like the Internet of Things, autonomous vehicles, and virtual assistants, users need clear, accessible explanations of how these systems arrive at their decisions. His contributions extend beyond technical methodology to consider the practical implications of AI transparency, including user trust and system accountability. By developing frameworks that transform opaque AI outputs into coherent, story-like explanations, Feldhus is helping to democratize AI understanding and make intelligent systems more approachable for non-expert users. His work represents an important step toward responsible AI deployment, where systems not only perform effectively but can also justify their actions in human-comprehensible terms.