17 citations · 17 across the 3 of their papers we have counts for
3 papers · 1 filter
Evaluating the Impact of Explainable AI on Trust in AI-Assisted Code Review
Zhenhan Gao, Marvin Muñoz Barón, Umm-e Habiba +2
Background: Large language models (LLMs) are increasingly used to automate code review, but the reasoning behind their decisions remains hard to understand. Developers struggle to…
How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions
Umm-e- Habiba, Markus Haug, Justus Bogner +1
Artificial intelligence (AI) permeates all fields of life, which resulted in new challenges in requirements engineering for artificial intelligence (RE4AI), e.g., the difficulty in…
Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
Umm-e-Habiba, Justus Bogner, Stefan Wagner
With the recent proliferation of artificial intelligence systems, there has been a surge in the demand for explainability of these systems. Explanations help to reduce system opaci…