Evaluating the Impact of Explainable AI on Trust in AI-Assisted Code Review
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 assess the validity of LLM-generated reviews, making it difficult to gauge how much trust to place in them. The role of Explainable AI (XAI)...
Zhenhan Gao, Marvin Muñoz Barón, Umm E. Habiba et al.
· arXiv.org · 0 citations