Technological advancements have resulted in highly automated systems that are featured in many kinds of tools and devices, such as self-driving cars, autopilot in airplanes, and much more. Such systems have enabled tools to plan, decide, and act autonomously. This breakthrough resulted in a new manner of interacting with tools, known as "Human-Robot Joint Action" or "human-AI interaction," in which people and automated tools share control over the tasks that must be performed. However, little is known about the impact of such interactions on people and their sense of agency (SoA) as well as how much autonomy to grant to tools. As a result, the objective of this systematic review is to investigate and understand how automated tools affect human SoA, and if tools with different levels of automation affect our SoA differently. A search in two databases, Scopus, and MEDLINE EBSCO was conducted, and 8 articles were included. The findings suggest that the more automated the tool is, the less SoA participants experience, and that varied levels of automation may impact human SoA depending on the nature of the task. However, this topic is still in its infancy and more research is needed.