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Robovote Helps Groups Make Decisions ­sing AI-Driven Methods

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The RoboVote logo.

The RoboVote online service enables the use of state-of-the-art voting methods to make optimal group decisions.


Researchers at Carnegie Mellon (CMU) and Harvard universities have launched, an online service that enables anyone to use state-of-the-art voting methods to make optimal group decisions.

RoboVote is driven by artificial intelligence and draws on social choice research on how opinions, preferences, and interests can best be combined to reach a collective decision.

"We have taken what years of research have proven to be the best algorithms for making collective decisions and made them available with an interface that anyone can use," says CMU professor Ariel Procaccia.

RoboVote is designed to handle subjective surveys, in which there is no correct outcome, as well as objective polls, in which the process is designed to produce an answer as close to the truth as possible.

In computational social choice, "we can build systems like RoboVote and implement the rules we think are best," Procaccia says.

RoboVote is similar to, a website Procaccia launched two years ago to implement "provably fair" solutions to everyday problems. Procaccia says both sites use processes that are proven and well known to researchers, but not readily accessible to most people.

From CMU News 
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