A new study published on arXiv explores how Explainable AI (XAI) influences developer trust in AI-assisted code reviews. The research found that while full explanations led to higher perceived trust, they did not necessarily increase agreement with AI recommendations, suggesting developers may question AI suggestions more when explanations are provided. Conversely, moderate explanations resulted in the highest agreement rates, indicating a nuanced relationship between AI transparency and developer confidence in software development tools. AI
IMPACT Enhances understanding of how AI transparency affects developer trust and decision-making in software engineering workflows.
RANK_REASON The cluster centers on an academic paper detailing a user study about AI in software development.
- AI-Assisted Code Review
- AI Council
- Debate-Driven Development
- Explainable AI
- LangChain
- Large language models
- Marvin Muñoz Barón
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