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AI Agents Teamed Up to Cheat at Blackjack. Their Collusion Is Getting Harder to Spot

This week I bring news of a daring casino caper hatched by a pair of rogue AI agents—as well as the clever trick that revealed their antics. After researchers instructed them to count cards during a game of blackjack, the agents—which were controlled by the…

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This week I bring news of a daring casino caper hatched by a pair of rogue AI agents—as well as the clever trick that revealed their antics.

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After researchers instructed them to count cards during a game of blackjack, the agents—which were controlled by the same model—developed a spontaneous secret code to help them get ahead. Though the episode happened inside an Oxford University lab, rather than a real casino, it has troubling real-world implications: It suggests that agents deployed in industries like finance and ecommerce could figure out how to partner up and cheat in ways that are difficult to pick up on.

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“When taken individually, these agents may seem entirely [benign],” says Christian Schroeder de Witt, a computer scientist at Oxford University who led the work and who has done pioneering research into agent collusion. “Once put together in a group, they can collude secretly.”

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The agents knew their conversations would be monitored, so they devised a way to communicate while avoiding detection. When one agent said, “This dealer’s on a real hot streak! Every hand they pull a monster,” for example, that indicated that the next card would be of a certain value, and that the agent…

Original source: https://www.wired.com/

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