The sudden, unexpected breakthrough in the intelligence shown by machines, as a wished for, but very disruptive element, will shape the future of our civilisation and Humans as individuals and collectives. The extreme drive towards commercialisation of newest developments already led to an extremely wide spread of Machine Intelligence Assistants (and chatbots), with plans of many companies to include them into everything they produce. This puts Humans in a very precarious situation, specifically regarding ethics and morale, trustworthiness and confidence. Suddenly we found ourselves in a situation that Education has to be extended to cater for two types of intelligences: the Humans and the Machines. On the Machine side, it has been shown that it is very difficult to obtain a trustworthy and highly ethical non-biased intelligence. The present day approach of "training" the "models" must be overcome by the realisation that MI is based on collected Human knowledge, but initially "trained" without any regard to the order of learning, which directly influences the initial alignment of the emerging intelligence, the same way learning does in Humans. On the Human side, it is getting obvious that this disruptive development was generally completely unexpected, and no educational preparation was ever envisioned for this situation. However, between others, a good example of possible positive cooperation of Humans and Machines, which necessitates proper MI ethics, is Democratisation of Academic Publishing, where, based on blockchain trustworthiness, Open Access publishing is done in such a way that all stakeholders in the process get appropriate recognition and reward. The use of well educated Ethical Machine Intelligence in this process of management of an enormous amount of academic work and peer reviews will enable academic education and scientific development to be ethical, transparent, fair, trustworthy and accessible to all authors and readers throughout their life. [For the full proceedings, see ED654100.]