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Understanding Autonomous Driving as Institutional Activity

Pre-recorded talk | MORAL ROBOTS II

This video is not available any longer from this site; check the author’s personal websites for any additional postings;  the paper will appear in the RP2020 Proceedings in December

This video is not available any longer from this site; check the author’s personal websites for any additional postings;  the paper will appear in the RP2020 Proceedings in December

Author

Manuel Dietrich, Honda Research Institute Europe (DE)

Dr. Manuel Dietrich is a Senior Scientist at the Honda Research Institute Europe. He received an engineer diploma in Mechatronics in 2010 and a master’s degree in Philosophy of Technology in 2013. In 2018 he finished his PhD at the Technical University Darmstadt, department of philosophy. His research interests include ethical aspects of autonomous driving, human-robot interaction as well as AI and privacy.

Full Title

Understanding Autonomous Driving as Institutional Activity: Opening New Ways to React to Discriminatory Concerns in Autonomous Driving

Abstract

We will elaborate why it is appropriate to be concerned about structural discrimination induced by future autonomous vehicles – not only in the context of crash-optimization. In order to understand discrimination effects and potential strategies to reduce them, a novel conceptual perspective on how to frame autonomous driving is introduced. According to that, autonomous driving is considered as an institutional activity. This perspective enables us to connect to theories about institutional justice – and open new ways to react to discriminatory concerns. To illustrate this direction, we sketch how to apply institutional justice to a system for autonomous highway driving.