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DARPA-Backed Researchers Aim to Help Robots Imbibe Human Norms Via Machine Learning Algorithm

The Defense Advanced Research Projects Agency has funded a team of researchers to create a machine-learning algorithm designed to help artificial intelligence systems learn human social norms.

The researchers developed the algorithm through the creation of a computational framework of human norms that can be converted into AI machines, DARPA said Wednesday.

“The goal of this research effort was to understand and formalize human normative systems and how they guide human behavior, so that we can set guidelines for how to design next-generation AI machines that are able to help and interact effectively with humans,” said Reza Ghanadan, program manager at DARPA.

Researchers at Tufts University and Brown University led by Bertram Malle conducted the project for DARPA.

 

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