Researchers in the SESAR JU project, TAPAS, have completed a series of tests showing how applications built using explainable artificial intelligence can improve trust in humans operating automation-enhanced air traffic management systems. The algorithms will be now be adapted further to research AI-based automation support for in other ATM domains.