Explainability of computer vision systems is critical for people to effectively use and interact with them. This workshop provides a forum for researchers and practitioners to discuss the challenges and opportunities in explainable AI (XAI) for CV, addressing a critical need given the increasing deployment of these systems by: (1) initiating discussions across researchers and practitioners in academia and industry to identify successes, failures, and priorities in current XAI work; (2) examining the strengths, weaknesses, and underlying assumptions of proposed XAI methods and establish best practices in evaluation of these methods; and (3) discussing the various nuances of explainability and brainstorm ways to build explainable CV systems that benefit all involved stakeholders.