A paper titled “Perceptions towards autonomous vehicle acceptance: Information mining from Self-Organizing Maps and Random Forests” authored by Apostolos Ziakopoulos, Christina Telidou, Apostolos Anagnostopoulos, Fotini Kehagia and George Yannis, has been published in IATSS Research. Random Forests (RF) feature importance calculation indicated a number of affecting variables with distance covering capabilities of AVs being a major factor affecting acceptance decisions, followed (by a wide margin) by responder opinions on whether the principles and conscience of drivers can be replaced by an AI navigator without reducing safety levels.