Isabelle Levent

My lesson from these two examples is that it might be possible to make prompting “invisible” by making it part of the UI, and finetuning output for as much of the writer’s context as possible to make it more useful. Latency matters, and cost matters, which are wonderful because these tend to be “regular engineering” type problems rather than AI

If it was possible to deduce how much of an influence each individual image has on the final outcome (and the owner of each image was known and labelled, which I currently doubt happens), would it be simple to compensate people then?

The “story seeds” control allowed writers to experiment with using Wordcraft to generate ideas at the very beginning of the writing process. MT described the “story seeds” control as giving her “a place on my computer to go that looked like a blank page but did not behave as such.” E

The Lab’s mission is also to develop a critical literacy that can help cultural institutions approach AI technologies as advanced and multilayered media. While reliant on the highly specialised theoretical work needed to untangle issues such as ‘distributed authorship’ (Ascott 2005; Zeilinger 2021) involved in artistic research, the Lab does not

New art-making technologies change art in consistent ways, and studying the past helps us understand how things will change in the future.

Second, we should create a legal regime that can make our data’s collective value something we can bargain over as a group.

the reconfiguration of culture as a domain of not just human-made meanings but also machinic calculation