As automation becomes more prevalent in society, the frequency that systems involve interactive human-automation control increases. Previous studies have shown accountability to be a valuable way of eliciting human engagement and reducing various biases, but these studies have involved the presence of an authority figure during the research. The current research sought to explore the effect of accountability in the absence of an authority figure. To do this, 40 participants took part in this study by playing a microworld simulation. Half were told they would be interviewed after the simulation, and half were told data was not being collected. Eleven dependent variables were collected (accountability, number of resources shared, player score, agent score, combined score, and the six measures of the NASA- Task Load Index), of which statistical significance was found in number of resources shared, player score, and agent score. While not conclusive, the results suggest that accountability affects human-automation interactions even in the absence of an authority figure. It is suggested that future research seek to find a reliable way to measure accountability and examine how long accountability effects last.