We study how humans make decisions when they collaborate with an artificial intelligence (AI): each
instance of a classification task could be classified by themselves or by the AI. Experimental results suggest
that humans and AI who work together can outperform the superior AI when it works alone. However,
this only occurred when the AI delegated work to humans, not when humans delegated work to the AI.
The AI profited, even from working with low-performing subjects, but humans did not delegate well. This
bad delegation performance cannot be explained with algorithm aversion. On the contrary, subjects tried to
follow a provided delegation strategy diligently and appeared to appreciate the AI support. However, human
results suffered due to a lack of metaknowledge. They were not able to assess their own capabilities correctly,
which in turn leads to poor delegation decisions. In contrast to reluctance to use AI, lacking metaknowledge
is an unconscious tr
