Self-governing hybrid societies are multi-agent systems where humans and machines interact by adapting to each other’s behaviour. Advancements in Artificial Intelligence (AI) have brought an increasing hybridisation of our societies, where one particular type of behaviour has become more and more prevalent, namely deception. Deceptive behaviour as the propagation of disinformation can have negative effects on a society’s ability to govern itself. However, self-governing societies have the ability to respond to various phenomena. In this article, we explore how they respond to the phenomenon of deception from an evolutionary perspective considering that agents have limited adaptation skills. Will hybrid societies fail to govern deceptive behaviour and reach a Tragedy of The Digital Commons? Or will they manage to avoid it through cooperation? How resilient are they against large-scale deceptive attacks? We provide a tentative answer to some of these questions through the lens of evolutionary agent-based modelling, based on the scientific literature on deceptive AI and public goods games.

自治混合社会是多主体系统，人类和机器通过适应彼此的行为进行交互。人工智能 (AI) 的进步使我们的社会日益多元化，其中一种特定类型的行为变得越来越普遍，即欺骗。作为虚假信息传播的欺骗行为可能会对社会的自我治理能力产生负面影响。然而，自治社会有能力应对各种现象。在本文中，考虑到智能体的适应能力有限，我们从进化的角度探讨了它们如何应对欺骗现象。混合社会是否会无法治理欺骗行为并导致数字共享的悲剧？或者他们会通过合作设法避免这种情况吗？他们对大规模欺骗性攻击的抵御能力如何？我们根据有关欺骗性人工智能和公共物品游戏的科学文献，通过基于进化代理的建模的视角，对其中一些问题提供了初步答案。