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,…
Angie shares that “…if memory does not pass from one person to another then it is forgotten.” In this episode we learn about the unique barriers faced by institutions and organizations in an Argentinian and South American context as well as the unique ways Wikimedia Argentina supports efforts to open up collections of cultural heritage…
As part of our #20CC anniversary, last year we joined forces with Fine Acts to spark a global dialogue on what better sharing looks like in action. Our #BetterSharing collection of illustrations was the result — we gathered insights from 12 prominent open advocates around the world and tasked 12 renowned artists who embrace openness…
Charles shares that “open access [in cultural heritage] allows institutions to shine a light on lesser known works” that would otherwise go unnoticed. In this episode we get to learn about how a major French cultural institution creates value by making incredibly detailed data of collections available to the public online. Open Culture VOICES is…
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…
In 2022, five working groups of the Creative Commons Open Culture Platform collaborated on a diverse range of topics related to better sharing of cultural heritage. In this blog post, we highlight their incredible contribution to the open culture community. Digital Community Heritage Led by Bettina Fabos and Mariana Ziku, the Digital Community Heritage Working…
“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…
Felix feels that “sharing is something that is invited in human nature” and this is something that has inspired part of his own journey within Open Culture and the Open Movement. In this episode we learn about digital and media rights in Ghana and Liberia as well as the ways local initiatives for open access…
On 7 February 2023, Creative Commons hosted a panel discussion on 3D scanning, preservation, access and revitalization of cultural heritage. Missed it? Not to worry, it was recorded. Here are some of our top takeaways from discussion: To increase access to cultural content, advocacy efforts that appeal to museums’ higher values of making cultural…
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Stephen WolfsonBetter Internet, Copyright, Licenses & Tools, Open Creativity, Technology“Robot Training” by Creative Commons was generated by the DALL-E 2 AI platform with the text prompt “an oil painting in the style of Pieter Jansz Saenredam of a robot learning to follow a recipe in a Dutch kitchen with a large collection of tiny artworks arranged haphazardly on shelves.” CC dedicates any rights it holds to the image to the public domain via CC0.
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…
“Input” by jputman, here slightly cropped, is licensed via CC BY-SA 2.0.
