Artificial Intelligence (AI) and Machine Learning (ML) are core technologies that will pervasive and expansive in 6G.  Thinking about how to test AI/ML communications systems present new challenges compared to traditional methods.  There are 3 different types of AI/ML testing to consider—datasets (recorded from real world scenarios or artificially generated) are needed to train the AI/ML, AI/ML based test can be applied to wireless networks (for example, an AI/ML based signal identification), and finally testing to look at the performance of the AI/ML algorithm itself at a subcomponent level and at a system level.  This session will dive into each of these three areas with a goal to leave attendees with a better understanding what test and validation means for AI and ML in wireless systems.