Resisting Artificial Intelligence: When Do Decision-Makers Avoid or Use Algorithmic Input?

When do people heed the advice from an algorithm as opposed to a human? This session delves into novel research in which people opt for the recommendations from algorithmically-derived sources and uses experimental approaches to quantify and theoretically inform the conditions in which decision-makers listen to (or ignore) algorithmic advice. The papers in this session examine a breadth of decision-making scenarios and a diverse range of...