Artificial intelligence (AI) can assess far more data far more quickly than any single human can do. With such immense pools of information, AI should be able to consider past data, process all the implications and produce a reliable prediction better than a human--right? That may not always be the case, according to a multi-institution research team who examined the synergies between how humans and AI make predictions. They publish their results on Aug. 23 in Journal of Social Computing. "Predictive tasks are ubiquitous--any decision-making in any field or facet of life involves predicting the consequences of the available options before choosing them," said paper author Scott E. Page, professor at University of Michigan's Ross Business School.