  Recent developments in Artificial Intelligence (AI) have fueled the emergence
of human-AI collaboration, a setting where AI is a coequal partner. Especially
in clinical decision-making, it has the potential to improve treatment quality
by assisting overworked medical professionals. Even though research has started
to investigate the utilization of AI for clinical decision-making, its
potential benefits do not imply its adoption by medical professionals. While
several studies have started to analyze adoption criteria from a technical
perspective, research providing a human-centered perspective with a focus on
AI's potential for becoming a coequal team member in the decision-making
process remains limited. Therefore, in this work, we identify factors for the
adoption of human-AI collaboration by conducting a series of semi-structured
interviews with experts in the healthcare domain. We identify six relevant
adoption factors and highlight existing tensions between them and effective
human-AI collaboration.
