  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.
