This paper discusses the role of Drawing in representing and designing new epistemological models during the current AI spread, especially in relation to new advanced tools available to scientists. The accelerated development of technologies for data visualization and immersive and augmented expe-riences consolidates shared workflows, while criticism and genealogies of such tools are too often left aside. Therefore, scholars have not only to develop new technological tools and applied meth-odologies but also to work on shared sets of theoretical concepts that are necessary foundations to designed contents. The history of representation – especially maps on one side, perspective on the other – provides most of the necessary common ground, which is much needed if we choose that it is still worth governing AIs as much as we can, instead of abandoning ourselves to ‘the end of theory’, which would imply the end of any meaningful scientific drawing made by and for humans.
Representation Advances And CHallenges association