Researchers shed new light on the phenomenon often referred to as 'algorithm aversion'. The study suggests that humans don't always mistrust machines, but instead may struggle to learn how to effectively use them due to a bias in their learning process. When humans do not follow an algorithm's recommendations, they miss out on opportunities to observe its accuracy, leading to an incomplete understanding of its decision-making capabilities.
