A growing body of interdisciplinary literature indicates that human decision-making processes can be enhanced by Artificial Intelligence (AI). Nevertheless, the use of AI in critical domains has also raised significant concerns regarding its final users, those affected by the undertaken decisions, and the broader society. Consequently, recent studies are shifting their focus towards the development of human-centered frameworks that facilitate a synergistic human-machine collaboration while upholding ethical and legal standards. In this work, we present a taxonomy for hybrid decision-making systems to classify systems according to the type of interaction that occurs between human and artificial intelligence. Furthermore, we identify gaps in the current body of literature and suggest potential directions for future research.