So far, we have very much understood, explored and taught illustration using
a deconstructivist/post-modern framework: the Illustration as Meaning
Materialised, where every brush stroke, colour or visual element is intentional
and is there to be read. But we might need to start to revise this singular view that can be very limiting and stifling and in and of itself problematic. Meaning, interpretation, connotation, – all of these are concepts under pressure in a communication world, thanks to the way we circulate images online, where decontextualization is becoming the norm. With AI scraping the internet’s billions of images, we are starting to see, that perhaps provenance, anchorage and contextualisation are no longer assured, and maybe no longer interesting.
Where do we go from here?
Pete Williams' two-part article in this issue, offers
a theoretical grounding for this new way of image production and consumption, and a way forward with, through, and beyond AI.
Perhaps we are witnessing a next split in how we understand images, similarly to how we did with the introduction of photography – asking questions about visual truth and indexicality, now around context and authenticity. The traditional illustration is nestled in a fixed image-text relationship, safe in picturebooks and on printed packaging – and we can easily explain how the image and text build on each other. But now, this same image, let loose in the digital sphere, is more like a nomadic collection of assets, that can be recontextualised, rearranged and reinterpreted at will. This offers new freedoms, demands new ways of making connections and potentially new ways of conceptualising and creating. It certainly demands new ways of teaching.