The adoption of increasingly automated technologies in ATM raises new liability issues that question the traditional approach on liability attribution. In this paper, we present some preliminary results from the ALIAS Project (Addressing the Liability Impact of Automated Systems). Firstly, a theoretical framework for liability attribution in aviation is presented. Secondly, the framework is applied to real air disasters and to hypothetical accident scenarios involving Unmanned Aircraft Systems (UAS). The results are briefly discussed.
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