A new study published in the journal Science this week has come to a rather interesting conclusion: the combination of artificial intelligence (AI) and crowdsourcing could solve a great many of humanity’s problems.

Crowdsourcing is a term that describes what is sometimes called human computation, which is when thousands of volunteers work on smaller elements of a bigger problem, tapping the collecting brainpower of humanity and focusing it on one project, according to a Discovery News report.

The human brain and AI both have their own strengths and weaknesses. The brain is far superior to AI for certain tasks, especially when it comes to language and pattern recognition. AI, on the other hand, has the advantage of being tireless and able to go through millions upon millions of data points in seconds for an answer. So what if the two powers could be combined?

The study was put forth by researchers at the Human Computation Institute and Cornell University, pointing to situations where this has already been used, such as a crowd-based map of conservation efforts across the globe. But they see it as something that could be expanded to medical studies, for exmaple.

The study proposed that a more effective combination of AI and human intelligence would be a step above most systems today. These hybrid computational systems would be able to tackle disease, climate change, and even geopolitical conflict, according to the report.

How would this work? The AI could manage crowd-based inputs, processing individual contributions and then assigning a different task to the next person.