How AI Can Help Weed Out Faulty Scientific Research

How can scientists restore confidence in their findings? Manually repeating all published experiments would be a straightforward solution, but "it's completely unaffordable," says Kellogg professor Brian Uzzi. Instead, since 2015, scientists have identified a technique called "prediction markets," which can forecast replicability with high accuracy. But the process only works on small batches of studies and can take nearly a year to complete. Uzzi wondered if artificial intelligence could provide a better shortcut.