The constantly increasing capabilities of artificial intelligence (AI) open new possibilities for human-AI collaboration. One promising approach to leverage existing complementary capabilities is allowing humans to delegate individual instances to the AI. However, enabling humans to delegate instances effectively requires them to assess both their own and the AI's capabilities in the context of the given task. In this work, we explore the effects of providing contextual information on human decisions to delegate instances to an AI. We find that providing participants with contextual information significantly improves the human-AI team performance. Additionally, we show that the delegation behavior changes significantly when participants receive varying types of contextual information. Overall, this research advances the understanding of human-AI interaction in human delegation and provides actionable insights for designing more effective collaborative systems.

翻译：人工智能（AI）能力的持续增强为人类与AI的协作开拓了新可能。利用现有互补能力的一种有前景的方法是允许人类将个体任务委托给AI。然而，要使人类能够有效委托任务，他们需要评估自身与AI在给定任务情境中的能力。在本研究中，我们探讨了提供情境信息对人类向AI委托决策的影响。我们发现，向参与者提供情境信息能显著提升人-AI团队绩效。此外，我们表明，当参与者接收到不同类型的情境信息时，委托行为会发生显著变化。总体而言，本研究深化了对人类委托过程中人-AI交互的理解，并为设计更高效的协作系统提供了可操作的见解。