The Open Invited track – Human in the Loop of Artificial Intelligence in Smart Maintenance and Manufacturing Systems will be organised at the IFAC World Congress, the flagship event of the International Federation of Automatic Control, that takes place every 3 years. AI-driven human augmentation or industrial automation have seen many applications in maintenance and manufacturing. Much is expected to be achieved in automated manner from Machine Learning in industrial systems, leaving the possibility for properly integrating human knowledge and human capabilities insufficiently exploited. Yet, the application practice of Machine Learning and broader AI in Maintenance and Manufacturing provides ample evidence of brittleness of derived solutions in the face of limited or new data, changing contexts, or evolving situations. AI communities seek to address such challenges with approaches such as Transfer Learning. Employing human operators, workers, or engineering staff as a source of observation, knowledge, decision, or action is another example. The collaboration of human and non-human (AI-driven) cooperating agents in industrial systems is a further step. Considering the above, the effective integration of humans in the Machine Learning and Broader AI Loop for Maintenance and Manufacturing is the focus of this track.