Description
From self-sailing ships to self-driving cars, from drones to automated trains: artificial intelligence (AI) is taking over the wheel. AI increasingly enables vehicles of all modes of transport to be driven without human input. This has significant legal consequences, especially in relation to traffic law. Traffic rules are generally based on the notion of a human handling the steering as well as other driving tasks (assessing the traffic situation, determining speed, etc.). As AI will take the human ‘out-of-the-loop’, these traffic rules no longer apply. The absence of a human driver, captain, train driver or pilot will therefore lead to lacunae in existing international and national traffic law. This is a challenge that concerns all modes of transport. Therefore, this challenge should be addressed from a cross-modal perspective. This requires the rethinking of key concepts such as responsibility and liability, thus reconsidering to whom traffic rules should be addressed. As this contribution cannot answer all questions arising from this development, it seeks to investigate some specific approaches to developing a new cross-modal legal framework for AI-driven traffic. This includes exploring the incorporation of traffic rules in technical vehicle requirements and the consequences of introducing vicarious liability in this context. Through discussion, this contribution aims to identify key elements for a new cross-modal traffic law framework.| Period | 24-Nov-2023 → 25-Nov-2023 |
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| Event title | Cyberspace conference 2023 |
| Event type | Conference |
| Location | Brno, Czech RepublicShow on map |
| Degree of Recognition | International |