Isabelle Levent
@isabellelevent
Isabelle Levent
Academically, this is a collision of everything from computer science and art history to media studies to disruptive innovation to labor economics, and no one of these disciplines seems sufficient to cover the topic.
Aaron Hertzmann • When Machines Change Art
It becomes a question of who created a certain work of art.
Haje Jan Kamps • Copyright law is going to get real interesting
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.
Olu • Is using Lensa art theft? | The ethics of AI generated art
With so much focus on creation, few systems consider revision. Revision—this is where the average writer gets the most outside help.
Katy Gero • AI Reveals the Most Human Parts of Writing
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
Tech Ethics and
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI
Hope Schroederarxiv.org
In particular, anthropomorphizing the AI system mitigates the responsibility to the artist, while bolstering the responsibility of the technologist. Critically, this suggests that the responsibility that will be allocated to individuals in the creation of AI art will be dependent on the choice of language and framing used to discuss it