The continuing rise of artificial intelligence (AI) creates a new frontier of information systems that has the potential to change the future of work. Humans and AI are set to complete tasks as a team, using their complementary strengths. Previous research investigated several aspects of human-AI collaboration, such as the impact of human-AI teams on performance and how AI can be designed to complement the human teammate. However, experiments are suffering from a lack of comparability due to the unlimited configurations, which ultimately limits their implications. In this study, we develop an overarching framework for experiments on human-AI collaboration, using human teamwork as a theoretical lens. Our framework provides a novel, temporal structure for the research domain. Thereby, emerging topics can be clustered sequentially.