AI Research Seeks to Grow Trust between Humans and Computers

By BU Today

July 13, 2017

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A sign of trust between human and machine intelligence.

Boston University and University of California, Berkeley researchers have received a grant from the U.S. Defense Advanced Research Projects Agency to find create a translation tool that explains the decision-making process of artificial intelligence to human users.

Credit: clearyhr.com

Researchers at Boston University and the University of California, Berkeley received a four-year, $7.55-million grant from the U.S. Defense Advanced Research Projects Agency to find new ways of getting inside the “mind” of artificial intelligence (AI), creating a translation tool that explains its decision-making process to human users.

Getting feedback on why an AI device makes a particular decision could help improve its accuracy by giving opportunities for humans to offer small corrections.

In addition, it could increase the trust that humans put into a machine, making it a better collaborator on complex jobs.

All of the primary neural network’s processing is devoted to solving its task. “That’s why we want to use a second neural network that has access to that machinery and input data, and can learn to translate all that into a textual version that humans can understand,” says BU professor Kate Saenko.

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Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA


 

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from Communications of the ACM: Artificial Intelligence http://ift.tt/2tj0GDu

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