Isabelle Levent

Instead, I’d like us to ask: in whose voice do our machines write? What voices do they obfuscate? Where do their words come from? In short, I’d like us to ask questions about power, and the ways in which it functions through and around language. 

However, we often found that it was the unexpected differences between the prompt and the generated image’s interpretation of it that yielded new insight for and excitement from participants.

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?

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,

Maybe the creative work is now to figure out ways to nudge AIs into being weird and interesting rather than producing inane imitations of the most ordinary human writing

“There are real concerns with respect to the copyright of outputs from these models and unaddressed rights issues with respect to the imagery, the image metadata and those individuals contained within the imagery,” said Peters.

I think that the language model’s failure to dismiss the class results from a slightly different cause than my student’s failure to dismiss the class with the same utterance. While the student’s failure arises from their lack of authority, the model’s failure results from the fact that it functions more like a  citation  of language rather than a