  Trust is widely regarded as a critical component to build artificial
intelligence (AI) systems that people will use and safely rely upon. As
research in this area continues to evolve, it becomes imperative that the HCI
research community synchronize their empirical efforts and align on the path
toward effective knowledge creation. To lay the groundwork toward achieving
this objective, we performed a comprehensive bibliometric analysis of two
decades of empirical research measuring trust in AI, comprising 538 core
articles and 15'548 cited articles across multiple disciplines. A key insight
arising from our analysis is the persistence of an exploratory approach across
the research landscape. To foster a deeper understanding of trust in AI, we
advocate for a contextualized strategy. To pave the way, we outline a research
agenda, highlighting questions that require further investigation.
