Unintentional biases are fundamental to human nature and are often deeply rooted in our culture and past experiences. Numerous studies have documented that each of us has implicit biases. Because these biases predict behaviors they can also affect participation and success of those underrepresented in STEM (science, technology, engineering and math) fields. These biases usually result in perpetuating the existing culture and therefore must be addressed to effect institutional change, particularly with respect to enhancing diversity and inclusion. This presentation will briefly review the identification of bias, common patterns, and strategies to combat them in STEM environments.