Communications of the ACM
Trash Talk From an AI Could Help Humans Cooperate Better
Researchers at Brigham Young University in Utah found that "trash-talk" banter between human gamers and an artificial intelligence actually doubled the rate of cooperation between the system and the people.
Credit: Quora
Researchers at Brigham Young University (BYU) have developed an algorithm to help artificial intelligence (AI) and humans learn to cooperate.
They used 472 games requiring two-player interactions to promote communication between humans and machines.
The researchers found light banter, or "cheap talk," doubled the rate of cooperation between AI and human players.
Similar to how humans might bluff their way through a game, the AI also was capable of being "all talk." For example, it might say that it was going to make a certain move, only to decide not to follow through with that choice, notes BYU's Jacob Crandall.
However, in order to truly work well together, AI must be able to understand and respond to human emotions via verbal and facial cues, cultural practices, and social norms.
The researchers say achieving this level of cooperation will likely become a larger focus for AI research in the coming years.
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