People use AI in different ways when making decisions, including ignoring recommendations, incorporating them selectively, or relying on them more heavily. In two studies, participants completed a selection task either before seeing AI recommendations or after seeing them, with some receiving lower-quality suggestions. The same behavior—using AI—could improve outcomes or harm them depending on the quality of the recommendations. People did not consistently accept good recommendations or reject poor ones. Instead, perceived trustworthiness and confidence influenced how much participants used the AI output, even when the underlying recommendation quality varied.
"Across two recent studies, my colleagues and I looked at how people actually use AI when making decisions. The results don't fit neatly with the idea that the problem is simply using it too much or not enough. In two studies, we asked people to complete a relatively simple decision task - selecting a small set of items from a larger pool of options. In the first study, they could decide whether to view ChatGPT's recommendations before making their choices. In the second, they completed the task first, were then shown ChatGPT's recommendations - with half receiving lower-quality suggestions - and were given the chance to revise their answers."
"The same behavior, relying on AI, can help or harm depending on recommendation quality. People don't consistently accept good recommendations or reject poor ones. Perceived trustworthiness and confidence shape use more than actual recommendation quality."
Read at Psychology Today
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