Here is just one example of a post here! A significant challenge of Generative AI is its basis on the reuse of large swaths of content to which sources are never (and likely not easily) able to be credited/attributed.
As I skimmed a title of a post that was blocked by a login wall, the question of Provenance and Attribution, which to me are connected by different issues.
But I am posting here to find what others are doing for recommending ways to attribute generative AI content in learning materials.
But, every since I started experimenting with the early AI image generators, I was interested in the ways we might at least attribute what was made–
So for people who are supporting educators making use of AI generated media, what are your recommendations for suggesting at least some kind of attribution? Yes, the true source is not readily attributable, but can we get close to the spirit of TASL (well the L is left out in the gray cold zone).
I am thinking less so for truly giving credit, but for at least making it clear where the item came from (thus I tend to include the prompt).
How is the wild robot west doing these days?
"Robot Wild West” by Alan Levine, image generated and regenerated by the DALL-E 2 AI platform with the text prompt “A robot sitting on a horse on a western plain Impressionist style.” OpenAI asserts ownership of DALL-E generated images; Alan dedicates any rights it holds to the image to the public domain via CC0.
How to Participate
Send your thoughts, or links to guidelines, or opinions, Maybe include an AI generated text, image, sound, and show us your best attribution chops.
Example Guides
- Artificial intelligence - referencing guidelines (RMIT University Library)
- Citation and Attribution with AI Tools (Brown University Library)
Discussion Prompts
- Are you recommending a particular style of attribution for AI generated text and media?
- Can this stuff really carry a license?