This thesis aims at investigating and evaluating the use of natural language gen- erative models, specifically in the framework of generating training scenarios for personnel working in critical infrastructures. Safety and security of an infrastruc- ture containing radioactive material should be addressed with emergency planning, which requires training scenarios for personnel involved. Such scenarios are tra- ditionally developed by human experts, although this is a process that is subject to several drawbacks. First of all, it requires a considerable amount of time for producing a qualitative output. Second, it must deal with multiple repetitive steps, thus leading to critical bottlenecks. Third, a final training scenario can at first glance seem reproducible and on-point, but when it comes to put it in practice, its plausibility might be insufficient.