新闻
Evaluating the Impact of Explainable AI on Trust in AI-Assisted Code Review
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Study found that explanations in AI code review systems increase perceived trust but moderate explanations drive highest agreement with recommendations.
- 为何重要
- Matters for teams deploying LLM-based code review tools and deciding how much explanation to surface to developers during reviews.
- 注意
- Study involved only 34 participants; unclear whether findings generalize across different developer experience levels, team sizes, or code domains.
- llm
- language model
- reasoning
这条新闻背后的模式
- Contrastive Explanations
- Blast-Radius Containment & Autonomy Bounds
- Generative UI (Agent-Rendered Interfaces)
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