Study

Knowing how AI works improves decisions about what to hand over

People who were taught how AI works handed over the tasks that suited AI and kept those that suited them. Their results improved. They also said they were less likely to use AI in future.

At a glance

Source
Pinski, Adam and Benlian (2023). AI Knowledge: Improving AI Delegation through Human Enablement. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. doi:10.1145/3544548.3580794
How it was done
Participants were split into two groups. One group was first taught how AI works and where human judgement goes wrong. Both then chose which tasks to hand to an AI. Randomised experiment. People were assigned by chance to work with or without the tool, and the two groups were compared.
Who took part
111 participants in two groups.
Where
A controlled experiment run by a university research team in Germany.

“We find that AI knowledge-enabled humans align their delegation decisions more closely with their assessment of how suitable a task is for humans or AI.”

What it found

  • People often hand tasks to AI badly: they keep tasks the AI would do better and give away tasks they would do better.
  • People who first learned how AI works matched their choices more closely to how well each task suited a human or an AI.
  • Choices matched in this way led to better results on the task.
  • The same knowledge lowered people’s stated intention to use AI later.

When the result holds

The participants could choose, task by task, whether to do the work themselves or hand it over. The finding applies to settings where staff have that choice.

Limits

  • A single session, not real work over time.
  • The drop in willingness to use AI was a stated intention. The study did not track what people later did.

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