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The ALIAS Conference is the annual event organized by the
ProjectConsortium to address liability and automation in aviation
and air trafficmanagement, including the innovation challenges
faced by the SESARProgramme. It gathers experts from different
disciplines and domainsof activity to discuss the many changes in
the allocation of liabilitiesresulting from the use of automation
in aviation, though not excludingrelevant issues in other
safety-critical domains to emerge. The eventprovides a privileged
occasion for close cooperation with the keystakeholders in the
technology lifecycle, such as industries, regulatorsand air traffic
controllers associations, offering the potential for cross-domain
cooperation and fertilisation.
In particular, the ALIAS Conference represents a privileged
occasionfor physical encounters between ALIAS and other subjects
andprojects of SESAR. For all these subjects and projects, ALIAS
intendsto act as a common spokesperson that makes connections,
proposesopportunities for cooperation and provides support on
proactive liabilityassessment of new aviation technologies, if
requested.
The ALIAS Digital Library is a repository of resources that is
availablein the Network platform for the registered users. The
resourcesencompass material both from the legal domain and from the
ATM andhuman factors domain, including references on international
andEuropean air law and selected human factors research
studiesconcerning automation and human error. When available, it
providesthe report of the investigation and court judgments of main
aviationaccidents. The contents of the Library reflect the
multidisciplinaryapproach of the research carried out in ALIAS,
where the socio-technical perspective embeds with the legal
perspective.
Users can access the description of each content and
downloadmaterials. The search function is available to help finding
out resourcesof interest by means of keywords. Users can also
propose newcontents to be added.
To visit the Library, go to www.aliasnetwork.eu (registration
required).
The ALIAS Network is the virtual community of reference within
SESARfor the debate on legal issues related to the paradigm shift
required byautomation. It involves legal experts and aviation
operators andtechnicians in living discussions around the liability
impact ofautomation, regarding both main aviation accidents and the
integrationof the new aviation systems being developed in the
framework ofSESAR.
In line with the network enabled research approach, the
community exploitsinternet services to connect specialists in a
frictionless, large scale and almostzero-cost way so as to foster
collaboration across multidisciplinary lines andfeed the research
activity in this brand new field.
At present the community welcomes more than 160 experts
comingfrom Universities, Research centres, Industries, Service
Providers,International Public Entities, Regulatory Agencies and
all otherstakeholders involved in the themes of liability
attribution in socio-technical systems.
To join the network, go to www.aliasnetwork.eu (registration
required).
The Legal Case is the novel methodology for proactive
identificationand management of liability issues associated to new
automatedtechnologies for aviation and ATM. It promotes the design
accordingto liabilities approach, according to which the legal
aspects of thetechnology should be identified and addressed since
the early phasesof its lifecycle. The methodology offers a
structured and standardprocess for the identification of legal
issues that may be associated tothe technology and the definition
of convenient mitigation measures tobe applied during the design
process. Such mitigation measures mayinvolve either technological
adaptations or legal arrangements. The aimof the methodology is to
prevent the possibility that liability issues actas showstoppers
for the development and deployment of newautomated systems.
The Legal Case can be applied to any ATM concept involving the
useof an automated technology. Such notion of automation is not
limitedto full automation, where an entire task is completely
delegated to amachine, but rather covers also cases of partial
automation wheremachines support the work of the human operators
without replacingthem.
THE LEGAL CASE
THE ALIAS NETWORKOF LEGAL RESEARCH
IN ATMTHE ALIAS
DIGITAL LIBRARYTHE ALIAS
CONFERENCE
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