4 papers
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
Tita Alissa Bach, Aleksandar Babic, Narae Park +4
The maritime industry requires effective communication among diverse stakeholders to address complex, safety-critical challenges. Industrial AI, including Large Language Models (LL…
What Does Explainable AI Mean in Practice? Evaluative Requirements from a Longitudinal Clinical Case Study
Tor Sporsem, Stine Rasdal Finserås, Lars Adde +1
This paper reports a case study on how explainability requirements were elicited during the development of an AI system for predicting cerebral palsy (CP) risk in infants. Over 18…
Towards Requirements Engineering for RAG Systems
Tor Sporsem, Rasmus Ulfsnes
This short paper explores how a maritime company develops and integrates large-language models (LLM). Specifically by looking at the requirements engineering for Retrieval Augmente…
User Feedback in Continuous Software Engineering: Revealing the State-of-Practice
Anastasiia Tkalich, Eriks Klotins, Tor Sporsem +3
Context: Organizations opt for continuous delivery of incremental updates to deal with uncertainty and minimize waste. However, applying continuous engineering (CSE) practices requ…