Saved by Sarah Drinkwater and
Datasets as Imagination
Where AI differs is its interaction with data and rights. Unlike coding assistants trained on open-source software, most commercial image generation tools are trained on copyrighted work. It’s a non-consensual, extractive practice in an already-precarious industry. It’s always hard to put the tech genie back in the box, but I think this is a case... See more
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.
Creative AI Lab • Creative—Critical—Constructive —Collaborative—Computational: Towards a C5 model in Creative AI
To guard against these issues while reaping the potential benefits of image generators, we provide recommendations such as regulation that forces organizations to disclose their training data, and tools that help artists prevent using their content as training data without their consent.