Isabelle Levent
@isabellelevent
Isabelle Levent
User-generated content platforms were a huge source for the image data. WordPress-hosted blogs on wp.com and wordpress.com represented 819k images together, or 6.8% of all images. Other photo, art, and blogging sites included 232k images from Smugmug, 146k from Blogspot, 121k images were from Flickr, 67k images from DeviantArt, 74k from Wikimedia,
... See moreAndy Baio • Exploring 12 Million of the 2.3 Billion Images Used to Train Stable Diffusion's Image Generator - Waxy.org
Like oil and land, data are a common that is commodified by private actors for profits. The commons being commodified is our essence as humans: our interactions with society at large.
Hanlin Li • From My Data to Our Data: A Proposal to Equitably Distribute Wealth in a Digital Economy
Our intuitive moral understanding of actors and transgressions may be at odds with the inherent complexity of AI systems.
Sydney Levine • Who gets credit for AI-generated art? – MIT Media Lab
There’s another edge case as well; in theory, with the same prompts and the random seed that’s used for generating the images, you could end up with someone else generating the same, or a very similar, image as what you created.
Haje Jan Kamps • Copyright law is going to get real interesting
The Lab’s mission is also to develop a critical literacy that can help cultural institutions approach AI technologies as advanced and multilayered media. While reliant on the highly specialised theoretical work needed to untangle issues such as ‘distributed authorship’ (Ascott 2005; Zeilinger 2021) involved in artistic research, the Lab does not
... See moreCreative AI Lab • Creative—Critical—Constructive —Collaborative—Computational: Towards a C5 model in Creative AI
What Is Creativity? Cultural Icons on What Ideation Is and How It Works
Maria Popovathemarginalian.org
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