Artificial Intelligence (AI) technologies have long been positioned as a tool to provide crucial data-driven decision support to people. In this survey paper, we look at how AI in general, and collaboration assistants (CAs or chatbots for short) in particular, have been used during a true global exigency - the COVID-19 pandemic. The key observation is that chatbots missed their "Apollo moment" when they could have really provided contextual, personalized, reliable decision support at scale that the state-of-the-art makes possible. We review the existing capabilities that are feasible and methods, identify the potential that chatbots could have met, the use-cases they were deployed on, the challenges they faced and gaps that persisted, and draw lessons that, if implemented, would make them more relevant in future health emergencies.
翻译:长期以来,人工智能(AI)技术一直被定位为为向人们提供关键的数据驱动决策支持的工具。在本调查文件中,我们审视了在真正的全球紧急情况(COVID-19大流行)期间如何使用人工智能(AI),特别是协作助理(CAs或聊天室短片),关键观察是,聊天室错过了他们的“Apollo时刻 ”, 当他们可以真正提供最先进技术能够提供的背景、个性化和可靠的决策支持时。我们审视了现有的可行能力和方法,确定了聊天室可以满足的潜力、它们部署的使用情况、它们面临的挑战和持续存在的差距,并总结了经验教训,如果实施这些经验教训,它们将在未来的卫生紧急情况中更具有相关性。