on autonomous weapons systems, may contribute " to the construction of systems of knowledge and meaning " [73]. For the qualitative analysis of text files, codes were developed abductively. The codes are derived from the documents and also take into consideration the existing literature regarding network-centric warfare. Networkcentric warfare conceptualizes an technology-oriented strategy of warfare being particularly time- and spaceor iented, for ming a decentra lized net work of synchronizing entities and man-machine teaming [34], [35]. Codes were also grouped by the three code categories humans and LAWS interaction, socio-technological values and embedding discourses, the latter comprising military discourse as an important sub-category of LAWS-embedding discourses. Hierarchical relationships were noted in the respective memos and are visualized in this work (see Figure 1). Because the derivation of inter-code relationships proved costly, we chose to rely humans and laws control interaction autonomy intelligence tech_ specifics laws_def_ char tech_anthro tech_ analogies phases powerful_ tech human_ above_ machine mhc hum_ responsibility tech_values Embedding Discourses economics military military advantage mil_operating_ structure dual-use warfare military_culture ncw commandcontrol scope time subordination law ethics cultural_issues hum_ responsibility gender hl_principles intern_law accountability cultural_issues explainability feasibility gender info_flow_accuracy intervention intransparency precision predictability prevention productivity reliability robustness safety security suitability sustainability time transparency trust verification FIGURE 1. Code categories " humans&LAWS, " " Embedding discourses " and " tech_values. " DECEMBER 2020 ∕ IEEE TECHNOLOGY AND SOCIETY MAGAZINE 41