Isabelle Levent

Crawford elaborated in an interview. “When you have this enchanted determinism, you say, we can’t possibly understand this. And we can’t possibly regulate it when it’s clearly so unknown and such a black box,” she says. “And that’s a trap.”

Now none of this is meant to say that I think programmers, artists and engineers have no responsibilities when it comes to the outputs of machine learning models. In fact, I think we bear responsibility for everything these models do. (I never, for example, attribute authorship to a program or a model. If I publish the results of a text generator,

It becomes a question of who created a certain work of art.

What’s difficult is to state our aesthetic values clearly enough to enable the program itself to make the evaluation at each generation.

"The data we licensed from Shutterstock was critical to the training of DALL-E,” said Sam Altman, OpenAI’s CEO. “We’re excited for Shutterstock to offer DALL-E images to its customers as one of the first deployments through our API, and we look forward to future collaborations as artificial intelligence becomes an integral part of artists’

Many methods for creating these models don't (and to be honest can't) attach the name, website and other details of every image and piece of text used to a create a new image in the metadata to every step of the process.