Summarize the following text : 
Interfaces have featured in the discussions
of the Group of Governmental Experts on
emerging technologies in the area of Lethal
Autonomous Weapons Systems (GGE on
LAWS) on numerous occasions during the
Group’s deliberations on human control
over autonomous weapon systems (AWS)
Understandably, interfaces have been con-
sidered important because they provide at
least two critical means of retaining a degree
of control: allowing operators to monitor
the behaviour and actions of a system, and to
deactivate or to override it (eg, by manually
taking control) should it fail to perform as
expectedAs systems become more auto-
nomous, however, interfaces become more
complex as wellThis report analyses the role of interfaces
in the exercise of human controlIt presents
several aspects of interface design and use
in the context of AWS and highlights impor-
tant trends on the horizon as more AI-
enabled functions are to be incorporated in
weapon systems
Generally, for an interface to be an effective
means of control, it must have a high degree
of usability (which means it must be engi-
neered and developed in a way that enables
users to achieve their objectives) and opera-
tors must be adequately trained to use it
effectivelyThe realization of these funda-
mental criteria becomes more complicated
with the scaling up of autonomy and the use
of AI and ML in weapon systems—as weapon
systems become more complex, options for
human–machine interaction and for interface
design become more complex, as are the
training requirements for human operators
Because interfaces cannot be meaningfully
discussed as stand-alone capabilities, the re-
port integrates this analysis into the broader
context of autonomy1 and human–machine
interactionThe challenges brought about
by autonomy in weapons systems are
weaved into all aspects of interface design
and use, and in personnel training require-
ments
1   Note on terminology: this report refers to the concepts of ‘autonomy’ and ‘automation’Automation generally refers
to systems that are deterministic and predictable, whereas autonomy comes with less predictability (depending on the
level of autonomy) and less deterministic behaviourTo date, the vast majority of available research is in automation
because this field has existed for much longer, hence the numerous references to automated systems and automation
in this reportFrom an end-user perspective, however, the distinction between automated and autonomous systems is
not always visible and the issues faced may be ver