Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal
Explainability has emerged as a critical requirement for AI-based systems, particularly in safety-critical and regulated domains. Although prior research has proposed frameworks, patterns, and user-centered approaches to support explainability, there is limited empirical understanding of how existing Requirements Engineering (RE) practices support explainability requirements across the RE lifecycle, especially in an industrial context. This paper reports early findings from an ongoing industry-b
Record details
Published: 13 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Regulation · Transparency
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (13 July 2026), “Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal,” evidence record 3012, https://ethics.ai/record/3012 (originally published by arXiv cs.AI).
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