Using LLM-generated draft replies to support human experts in responding to stakeholder inquiries in maritime industry: a real-world case study of Industrial AI — Bach et al. (2026)
This study investigated the utility of Large Language Models (LLMs) in supporting human experts in the maritime industry by generating draft replies to stakeholder inquiries. Using a mixed-methods approach, observations, interviews, a survey, and text similarity analysis, we examined how human experts perceive LLM drafts, how drafts align with final replies, and their potential impact on workflows and stakeholder trust. Findings show that while LLM drafts can improve efficiency, linguistic consistency, and time management, they frequently require manual adjustments to ensure accuracy and…
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