How artificial intelligence can reduce selfish behavior and reshape society

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A Michigan State study tests AI in a classic cooperation game, and finds mimicry can push groups toward cooperation. (CREDIT: AI-generated image / The Brighter Side of News)

Forcing an AI system to “play nice” does not automatically make people cooperate. In one set of simulations, it barely moved the needle. In another, it backfired.

That’s the core tension in a new study from Michigan State University that uses a classic cooperation test, the Public Goods game, to ask a modern question: what happens when artificial intelligence joins the group? The work was led by MSU professor Christoph Adami, Department of Microbiology, Genetics, & Immunology.

“Cooperation is everywhere in nature,” Adami said. “But the mathematics of how cooperation can persist is not easy to understand.”

When being good gets punished

The study sits inside a long-running problem that economists and ecologists love to argue about. It is often called the “tragedy of the commons,” a situation where shared resources get drained because each individual can gain by taking more than they give.

MSU professor Christoph Adami, Department of Microbiology, Genetics, & Immunology. (CREDIT: Michigan State University)

“Being a good citizen is more costly than being a leech,” Adami said. He added that his team has studied the issue for more than 15 years, searching for ways to “lower the barrier for cooperative behavior in order to convert a selfish society into a cooperative one.”

To explore that barrier, the researchers used the Public Goods game, a group version of a social dilemma. Each player can cooperate by paying a cost to contribute to a common pool, or defect by keeping that cost. The pool gets multiplied by a “synergy” factor and then split evenly among everyone, whether they contributed or not.

So defectors can come out ahead inside any mixed group. Yet if everyone cooperates, the whole group does better than a group full of defectors. That mismatch is the dilemma.