For the same reason I think it’s useful to distinguish between purely AI-generated imagery vs. using AI tooling in some specific and restricted way. e.g. if someone uses an AI de-noising program on a RAW photograph, the implications of that are entirely different from generating the entire image.
Until recently, it was not possible to generate sophisticated programs from scratch across a wide variety of problems domains without being involved in writing the code. This type of “development” is entirely unlike a more limited “AI-assisted” workflow and the implications of each are quite different.
As a viewer of artwork, how the art was produced entirely changes how I value it.
As a user of software - especially in certain categories - how the software is produced also changes how I value it, whether or not I trust it with my data, would be willing to install it in my computers, etc.
To your point, there’s a spectrum of AI involvement. But I think it’s necessary and useful to have language that helps identify software that sits on the extremes of that spectrum. Classifying things across the range is more difficult.
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For the same reason I think it’s useful to distinguish between purely AI-generated imagery vs. using AI tooling in some specific and restricted way. e.g. if someone uses an AI de-noising program on a RAW photograph, the implications of that are entirely different from generating the entire image.
Until recently, it was not possible to generate sophisticated programs from scratch across a wide variety of problems domains without being involved in writing the code. This type of “development” is entirely unlike a more limited “AI-assisted” workflow and the implications of each are quite different.
As a viewer of artwork, how the art was produced entirely changes how I value it.
As a user of software - especially in certain categories - how the software is produced also changes how I value it, whether or not I trust it with my data, would be willing to install it in my computers, etc.
To your point, there’s a spectrum of AI involvement. But I think it’s necessary and useful to have language that helps identify software that sits on the extremes of that spectrum. Classifying things across the range is more difficult.