Dimitrakopoulos G. The Future of Intelligent Transport Systems 2020

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112 PART | III ITS business models


to investigate accidents, coupled with the requirements for AI transparency and
accountability form a field where the automotive industry has to move on with
ambiguous goals and increased challenges. The whole AI transparency frame-
work includes developing guidelines for safety, individual privacy protection,
algorithm transparency, and explainable decision making in order to turn public
opinion in favor of autonomous systems and increase the public trust to them.


9.8 Conclusions


Recent and future ITS advances are expected to play a tremendous role in the
worldwide industry, as they change the way industrial processes are run, as well
as industrial products are designed, promoted, sold, and supported. This chapter
attempted to link all ITS advances but with a particular focus on automated driv-
ing and AI, with the benefits that the industry expects from the advancements
of ITS.


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