ABSTRACT
After several cycles of “the death of the author,” Authorship becomes once more a political debate and an oppressive power structure in the “artificial intelligence” (AI) of statistical computational colonization activated by big technological corporations. In architecture, authorship is quite divided between architects who claim to be designers negating the structuring force of interfaces, and those technologists who disregard cultural criticism, particularly when technologists activate a disruptive innovation overrunning the revolutions of the disciplines they destabilize.
Because of a digital feudalism, expanding authorship to data sets and computational models not only becomes necessary to secure design authorship and expand creativity, but arguably it has become a matter of survival of the species.
The chapter aims to disclose, through semiotics, co-relationships between data and models, addressing the potential and limitations of AI relative to grammar, semantics, and visual deep structures. The chapter argues that to address creativity through AI, collective data sets, authors, grammar, and the environment need to be part of a larger interconnected simulation-based morphogenetic artificial neural network as we approach artificial general intelligence (AGI).
