Semi-autonomous weapon systems in international humanitarian law : a study of the new decision-making and responsibility issue in international humanitarian law relating to semi-autonomous weapon systems / Ajda Hosseini Ghasemi
Semi-autonomous weapon systems in international humanitarian law : a study of the new decision-making and responsibility issue in international humanitarian law relating to semi-autonomous weapon systems
Ajda Hosseini Ghasemi
[S.l] : [s.n.], 2014
59 p. ; 30 cm
Master thesis, International human rights law, Faculty of law, Lund University, Spring 2014. - Bibliographie : p. 55-59. - Photocopies
The purpose of this Master thesis is to examine, in detail, how current international law relates to autonomous weapon systems. Artificial intelligence has made war-machines less dependent on human control and thus more autonomous. The use of autonomous weapon systems causes difficulties in establishing responsibility for the implementation of humanitarian law when numerous individuals are involved, and when the actor is a robot. The question of accountability is therefore essential since this issue will arise in the framework of all fully autonomous and semiautonomous weapon systems. The concept of autonomous weapon systems (AWS) will be defined more precisely alongside three different forms of autonomy in order to demonstrate its compliance with current international law. The analysis will begin from the bottom of the decision-making process to gradually eliminate all candidates who do not have sufficient knowledge to assume accountability. The candidates that will be observed are the military personnel, the acquisition team, the programmer or manufacturer, corporations, and lastly, the robot. Each chapter will build upon the next and include a descriptive part in the beginning with an analysis toward the end of the thesis. Parallels will be drawn between the new legal phenomenon and existing legal systems.
By entering this website, you consent to the use of technologies, such as cookies and analytics, to customise content, advertising and provide social media features. This will be used to analyse traffic to the website, allowing us to understand visitor preferences and improving our services. Learn more