Though start and end times here are correct, detailed schedules here may not be complete or up to date. Please be sure to cross reference the workshop's website to verify workshop schedule details if they are available on the workshop's website. (Added by CVPR.)

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.