It's week three of our Future of Open campaign and we're exploring the use of AI to imitate the unique styles and techniques of artists.
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Hi John,
We are excited to share that we have already raised $1,000 towards our goal of $50,000 for the Future of Open ([link removed]) campaign. Your support is so greatly appreciated but we still have a ways to go! Are you willing to donate $50 today ([link removed]) to help us reach it?
Next Tuesday is our official Future of Open ([link removed]) day of giving. In the lead up to this, we’ve shared some of Creative Commons’ (CC) early thinking on Artificial Intelligence (AI) - the possibilities, limitations, and threats.
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Today, we conclude this series, exploring the use of AI to imitate the unique styles and techniques of artists.
In general, it is difficult to copyright a specific style of art. It rarely happens, and if it did, we’d miss out on a lot of exciting creations, and it would be difficult to participate in any genre of art without worrying about infringing on someone else’s rights. Imagine if the animation style anime were copyrighted and artists were no longer able to create their own unique versions. We might not have the modern anime we all know and love - Studio Ghibli films, Naruto, or even Pokémon!
Now, AI can remix styles with a simple text prompt. Anyone can use a tool like Midjourney or Stable Diffusion to create a work of art that looks like a Picasso or Van Gogh original. This, unsurprisingly, has many artists on edge, worrying whether their own work will remain relevant if a machine can easily reproduce it.
The line between plagiarism and inspiration is a blurry one. Even when new or unique, style can’t be copyrighted. However, the nature of AI writing prompts means users often specifically name the artists whose style they want to imitate. How much of that work can the user really claim as their own? Read more about our thoughts on this topic here ([link removed]) .
Beyond copyright issues, AI will likely impact the sharing of creative content and the open community in general. The legal uncertainty around AI, the lack of transparency of AI algorithms, issues around artist recognition and payment for use of their copyright works as AI training input, the potential flood of AI-generated works, and the questions around authorship of AI outputs, all together constitute yet more challenges for better sharing. Creative Commons wants to focus on working with our community to find a sustainable, coordinated, and inclusive approach that fosters the Future of Open ([link removed]) .
This is the last in our series on AI - the possibilities, limitations, and challenges. If you’d like to learn more about this topic, please check out the full blog series ([link removed]) - and let us know what you think!
Look out next Tuesday for our official Future of Open ([link removed]) fundraiser. In these difficult economic times, we know not everyone is able to give, and that’s ok. Please see below for all the ways you can participate:
Donate
* Make a donation ([link removed]) (consider becoming a monthly donor!)
* Fundraise for us by starting a Facebook fundraising page ([link removed])
* Would you prefer to send a check? See our Donor FAQ ([link removed]) for other ways to make a donation.
Share
* Share your thoughts on how AI is impacting the open community with the hashtag #FutureOfOpen and tagging @creativecommons
* Check out and share our Creative Commons’ Open Minds ([link removed]) podcast
Thanks!
The CC Team love_cc
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