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Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal

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Aliases: Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal

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Daimler Truck

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4arXiv · cs.AI·6d ago·source ↗

Industry study at Daimler Truck reveals gaps in Requirements Engineering practices for AI explainability

A qualitative study with eight practitioners at Daimler Truck investigates how existing Requirements Engineering (RE) techniques handle explainability requirements across elicitation, specification, and validation phases. The study finds recurring challenges including conceptual ambiguity, limited testability, and fragmented validation due to vague criteria and regulatory uncertainty. The authors propose a research vision toward an empirically grounded RE framework for explainable AI systems in safety-critical industrial contexts.

AI Safety Research Regulatory Developments Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal Daimler Truck