The The rise of socio-technical systems in which humans interact with various forms of Artificial Intelligence, including assistants and recommenders, multiplies the possibility for the emergence of large-scale social behavior, possibly with unintended negative consequences. In this work, we discuss a particularly interesting case, i.e., navigation services’ impact on urban emissions, showing through simulations that the sum of many individually “optimal” choices may have unintended negative outcomes because such choices influence and interfere with each other on top of shared resources. To prove this point, we demonstrate how the introduction of a random component in the path suggestion phase may help to relieve the effect of collective and individual choices on the urban environment in terms of urban emissions.

人类与各种形式的人工智能（包括助手和推荐器）互动的社会技术系统的兴起，增加了大规模社会行为出现的可能性，并可能带来意想不到的负面后果。在这项工作中，我们讨论了一个特别有趣的案例，即导航服务对城市排放的影响，通过模拟表明，许多单独的“最佳”选择的总和可能会产生意想不到的负面结果，因为这些选择会相互影响和干扰的共享资源。为了证明这一点，我们证明了在路径建议阶段引入随机成分如何有助于减轻集体和个人选择对城市环境在城市排放方面的影响。