Augmented Reality (AR) filters, such as those used by social media platforms like Snapchat and Instagram, are perhaps the most commonly used AR technology. As with fully immersive Virtual Reality (VR) systems, individuals can use AR to embody different people. This experience in VR has been able to influence real world biases such as sexism. However, there is little to no comparative research on AR embodiment's impact on societal biases. This study aims to set groundwork by examining possible connections between using gender changing Snapchat AR face filters and a person's predicted implicit and explicit gender biases. We discovered that participants who experienced identification with cross-gendered manipulations of themselves showed both greater and lesser amounts of bias against men and women. These results depended the filter user's gender, the filter applied, and the level of identification users reported with their AR manipulated selves. The results were similar to past VR findings but offered unique AR observations that could be useful for future bias intervention efforts.