With the increasing complexity of modern industrial automatic and robotic systems, a burden is placed on system operators, who are required to supervise and interact with very complex systems, typically under difficult and stressful conditions. To overcome these challenges, it is necessary to adopt a responsible approach based on an anthropocentric design methodology so that machines adapt to human capabilities rather than vice versa. In this article, we consider an integrated methodological design approach, referred to as measure, adapt, and teach (MATE), which consists of devising complex automatic or robotic solutions that measure the current operator's status and adapting the interaction accordingly, while providing him or her with the necessary skills and expertise to improve the interaction. A MATE system, shown in Figure 1, endeavors to be usable for all users, thus meeting the principles of inclusive design. However, the use of such a MATE system calls to attention several ethical and social implications, which are discussed in this article. Additionally, a discussion about which factors in the organization of companies are critical with respect to the introduction of a MATE system is presented.The increasing complexity of industrial automatic and robotic production systems is a result of industry competitiveness and the need to comply with market demands. As a consequence, along with this progress comes the need for laborers to acquire more advanced skills to operate such systems. Furthermore, they must also endure challenging work conditions, such as noisy environments, tight schedules, the fear of job loss, and/or psychological pressure due to the presence of supervisors. Such strenuous conditions are amplified when vulnerable users, such as those cognitively or physically impaired as well as elderly and low-educated operators, are involved in the interaction. In typical operative scenarios, these classes of workers are barred from job positions that necessitate the meticulous attention to detail required to interact with a robot or within a complex factory plant. Alternatively, in the case that these workers are granted any such occupations, their responsibilities and duties are severely limited. To invert such a policy, complex product systems need to be simplified. The adoption of a MATE system will enable such a goal, as the system strives to be