In my last blog post, I looked at whether copyright protects artistic style, particularly in the context of generative AI (GAI) art tools like Stable Diffusion and Midjourney. However, in the class action litigation against Stable Diffusion and Midjourney, the plaintiffs are not only concerned that people can use the GAI tools to produce works…
In my previous posts on generative AI, I discussed fair use and AI training data, copyright over AI outputs, and a recent U.S. Copyright Office decision on registration for a work produced by generative AI. In the next posts in our series, I will look at claims (exemplified in a recent case against Stable Diffusion…
Over the last year, innovation and use of generative artificial intelligence (AI) has proliferated, providing new ways for people to create content from art to zines, and everything in between. At CC, we’ve been watching these experiments in creativity while considering what it all means for what we call better sharing: sharing that is contextual,…
In a recent post, we explained why, absent significant and direct human creative input, generative AI outputs should not qualify for copyright protection. We noted that exactly what constitutes enough human input is not entirely clear; while a simple text prompt shouldn’t be enough, other areas will present more complex questions. Just this week, the…
“Generative AI” has been the subject of much online conversation over the past few months. “Generative AI” refers to artificial intelligence (AI) models that can create different kinds of content by following user input and instructions. These models are trained on massive datasets of content — images, audio, text — that is harvested from the…
While generative AI as a tool for artistic expression isn’t truly new — AI has been used to create art since at least the 1970s and the art auction house Christie’s sold its first piece of AI artwork in 2018 — the past year launched this exciting and disruptive technology into public awareness. With incredible…
As the year comes to a close, we’re spotlighting Creative Commons’ public policy work, recapping what we’ve done and looking ahead to the new year. In this edition, we turn to our work on artificial intelligence (AI). Recently, you might have seen the news headline “Art Made With Artificial Intelligence Wins at State Fair,” or…
On 9 and 10 November 2022, Creative Commons hosted a pair of webinars on artificial intelligence (AI). We assembled two panels of experts at the intersection of AI, art, data, and intellectual property law to look at issues related to AI inputs — works used in training and supplying AI — and another focused on…
Artificial intelligence (AI) has been exploding across the digital landscape — from people sharing text and images generated by AI platforms, to new policy that tries to shape a future where AI is expected to play an even bigger role — all while we aren’t really sure yet even how to define AI, much less…
At Creative Commons, we’ve been thinking a lot about how open principles and public interest values intersect with the decentralized web movement, particularly in relation to broader, collaborative efforts to build a Better Internet. In the past year, we’ve worked with other digital human rights and tech policy organizations to power this emerging movement, focused…