论文标题
AI和公民科学的偶然性
AI and Citizen Science for Serendipity
论文作者
论文摘要
有人认为，将AI引入创造性实践会破坏自发性，直觉和偶然性。但是，利用公民科学家（从事研究任务的公众成员）和计算AI方法之间进行复杂互动的系统的设计有可能促进创造性的探索和机会相遇。本文借鉴了有关偶然性和计算的理论和文献，指出了三个相互关联的方面，这些方面支持混合公民科学系统中偶然性的出现：任务环境；公民科学家的特征；以及异常和错误。
It has been argued that introducing AI to creative practices destroys spontaneity, intuition and serendipity. However, the design of systems that leverage complex interactions between citizen scientists (members of the public engaged in research tasks) and computational AI methods have the potential to facilitate creative exploration and chance encounters. Drawing from theories and literature about serendipity and computation, this article points to three interrelated aspects that support the emergence of serendipity in hybrid citizen science systems: the task environment; the characteristics of citizen scientists; and anomalies and errors.
