Professionals increasingly use Artificial Intelligence (AI) to enhance their capabilities and assist with task execution. While prior research has examined these uses separately, their potential interaction remains underexplored. We propose that AI-driven training ("tutor") and AI-assisted task completion ("tool") can have a joint effect on human capability and test this hypothesis in the context of lung cancer diagnosis. In a field experiment with 336 medical students, we manipulated AI deployment in training, in practice, and in both. Our findings reveal that while AI-integrated training and AI assistance independently improved diagnostic performance, their combination yielded the highest accuracy. These results underscore AI's dual role in enhancing human performance through both learning and real-time support, offering insights into AI deployment in professional settings where human expertise remains essential.

翻译：专业人员越来越多地使用人工智能（AI）来增强其能力并协助任务执行。尽管先前研究已分别考察了这些用途，但它们的潜在相互作用仍未得到充分探索。我们提出，AI驱动的训练（"导师"）与AI辅助的任务完成（"工具"）可能对人类能力产生联合效应，并在肺癌诊断背景下检验了这一假设。在一项涉及336名医学生的实地实验中，我们分别操控了AI在训练阶段、实践阶段及两个阶段的部署。研究结果表明，虽然AI整合训练与AI辅助各自独立提升了诊断表现，但二者的结合产生了最高的准确率。这些发现凸显了AI通过学习和实时支持的双重作用来提升人类表现，为在人类专业知识仍至关重要的专业场景中部署AI提供了见解。