The ability of artificial intelligence (AI) to take on complex tasks can facilitate humans' life, but also raise concerns about AI replacing the human workforce. Acceptance and prior trust are prerequisites for successfully using AI. Yet, there is no overview of the research streams that covers the topic of AI trust. We, therefore, analyzed all AI trust literature to this date. We first organized a large number of publications using a topic modeling approach, clustered the results into research streams within AI trust, and built a conceptual framework of human trust in AI. Our analysis yielded 56 topics which we assigned to 11 clusters. Further in-depth analysis of the cluster “human trust” revealed different organizational, AI, and human factors influencing AI trust. Our results contribute to the AI trust literature by reviewing the field, offering a model of human trust in AI using a novel mixed methods approach and uncovering areas for further research.