Isabelle Levent

The Lab’s primary focus is on the ways in which artists and designers are adopting, adapting and remaking AI processes, building their own datasets and reaching into the ‘grey box’ of AI technologies. 

Academically, this is a collision of everything from computer science and art history to media studies to disruptive innovation to labor economics, and no one of these disciplines seems sufficient to cover the topic. 

Creativity is the ability to come up with ideas or artefacts that are  new ,  surprising , and  valuable . 

This is posing questions to writers everywhere: Which parts of writing are so tedious you’d be happy to see them go? Which parts bring you the inexplicable joy of creating something from nothing? And what is it about writing you hold most dear? 

We find that models learn just as fast with many prompts that are intentionally irrelevant or even pathologically misleading as they do with instructively “good” prompts. Further, such patterns hold even for models as large as 175 billion parameters (Brown et al., 2020) as well as the recently proposed instruction-tuned models which are trained on

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

The deepest cases of creativity involve someone’s thinking something which, with respect to the conceptual spaces in their minds, they  couldn’t  have thought before. The supposedly impossible idea can come about only if the creator changes the pre-existing style in some way. It must be tweaked, or even radically transformed, so that thoughts are