Addressing the Liability Impact

of Automated Systems


In the time horizon of SESAR, that is over the next 30 years, a new generation of air traffic management systems will be developed. Such systems will be capable of augmenting today’s capacity, while at the same time making traffic safer and more fluid, efficient and sustainable. To achieve this, higher levels of automation will be introduced, until the extent that automated technologies will manage, with increasing levels of autonomy, tasks currently carried out by human operators, or will provide human operators with inputs they may not be in a position to question. Such technological changes demand for a critical revision of the actual human contribution to the performance of complex socio-technical systems, and consequently, of the criteria for the allocation of liability.  ALIAS proposes a research plan on these topics which combines theoretical investigation on liability and automation with on-line discussion with the stakeholders.

The project is structured in two phases: the first phase, called ALIAS (2011-2013), officially initiated the research on the liability impact of automated systems. It released two products: the Network of Legal Research in ATM and the Legal Case. The second phase, called ALIAS II (2014-2016), was launched as follow up activity to continue and implement the work done in the first phase. The ALIAS II objectives are:

  • Extend the role of The Network of Legal Research in ATM within SESAR, making the network a key point of reference for all those projects that deal with topics of liability attribution and legal issues in general
  • Validate and consolidate the Legal Case methodology through test applications and expert interviews, in order to release, at the end of the project, a self-standing and ready-to-use methodology
  • Develop a digital training on the Legal Case, in order to feed and smooth its adoption in the European CNS/ATM Community

06/04/2017 11:50:33

ALIAS project at the HUMANIST Summer School

The legal case developed within ALIAS will be presented at the next HUMANIST Summer School.

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