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Reverse game theory offers a new leash for AI agents
Researchers are exploring "reverse game theory" as a way to keep powerful AI models in check. Instead of just telling an AI what to do, this approach designs the system's incentives so that following the rules becomes the most attractive option. The idea is being discussed as safety experts worry about ensuring AI models stay "aligned" with human desires and don't act…
Источник: MIT Technology Review