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Generative AI in Arts: A Friend or a Foe? AI-Friendly Open Webinar Series
Generative AI in Arts: A Friend or a Foe? AI-Friendly Open Webinar Series

AI in Art Artificial Intelligence in Art The future of Art is AI

Platform Graduate Award artists Bevan Hill & Will Griffiths create artworks generated entirely by AI technology. Their exhibition Real Art for Real People brings together painting, sculpture and written work, conceptualised and designed by computers. By removing themselves from the ‘creative process’ they explore the importance of individual expression and agency in an increasingly automated world. Like with all creative projects the key is getting the initial idea right, in the case of AI art the prompt acts as this brief. Unlike any technology which has become before it the real magic of Generative Art is that there is no “right” or “wrong”. The systems are always learning and improving which means the idea of the “perfect” prompt doesn’t exist.

You can imagine it on a T-shirt at Glastonbury or a poster for a Coldplay concert. The silhouette of a standing figure against a distant skyline with clouds forming a world around them at least has something you can get your teeth into. But this feels more infinite monkey theorem than a glimmer of what William Blake conjured in his poem ‘Auguries of Innocence’ as the ability to hold infinity in the palm of your hand. Rather than simply adopt the ‘vanilla’ version of the platform, Steenbrugge says he ‘hacks’ the open-source code to alter the logic and introduce subtle changes.

Aaron Horn, Grammy Nominated Music Producer

These systems ultimately rely on being trained, which leads to examination of what training, supervision and testing is in place, or should be, to ensure output quality, and ultimately where and with whom liability for that automated output sits. Show me some of the imagery from the next generation of AI, and I’m sure I will not be able to tell the difference between the output genrative ai of a human biological neural network and one based on chip technology, working at trillions of computations per second. When I was approached to write this brief critique of artworks produced by AI my first instinct was to say ‘no’. After all, what I know about AI, algorithms, foundation models and ever-increasing parameter sizes could be written on the back of a postage stamp.

However, as a default, OpenAI retains rights to use the input and output to provide and maintain its services. This would suggest that, at least in the case of ChatGPT, the user will own any copyright subsisting (if any) in its output. As mentioned, in order for copyright to subsist in an artistic work it must be “original”.

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And importantly, we provide philosophical justification of our ideas around creativity and frameworks within which we can assess progress in the field. The term “deepfake” comes from the use of deep learning, a type of machine learning, in the technology. Deepfakes can be used for a variety of purposes, including creating fake news and propaganda, and are considered a form of disinformation.

  • The idea of AI-powered creativity has been around for decades, but it has only been in recent years that AI has made remarkable progress in various creative domains.
  • It’s like giving the factory a description of what you want, and it’ll spit out a beautiful piece of art that’s tailored just for you.
  • However, the physical realisation of these images by the duo in oil on canvas provides a further interrogative dimension.
  • The images that look like illustrations for dystopian films have more going for them.

For the Christie’s sale initiative, which raised money for MAPS an organisation supporting research into the use of psychedelic drugs, there was an obvious symbiosis. Rather than replacing human creativity, there is a growing shift towards collaboration and co-creation with AI. AI systems can serve as tools to provide inspiration, generate ideas, and augment human creative processes. By leveraging AI's computational capabilities, humans can explore new possibilities and expand the boundaries of their own creativity. The emergence of Chat GPT in early 2023 represented a significant leap forward in natural language processing and generation. Its language generation capabilities, combined with its vast knowledge base, meant that it was able to do tasks only dreamed of before.

The Impact of AI on Art

Founder of the DevEducation project

However, the US Copyright Office refused to issue the copyright, and Thaler appealed the case to a US Court. On Friday, Judge Beryl Howell issued her ruling – that human authorship was a “bedrock” for copyright law, and that no copyright had ever been given to something that was “absent of any guiding human hand”. Although US and UK law both allow for the “fair use” of copyrighted artwork, they enact this in different ways. The two different legal jurisdictions overseeing the lawsuits will have an effect on how the two court cases play out.

ai generative art

I’m constantly impressed by, (or is it scared of?), the incredible speed at which technology is changing and improving our everyday lives. MidJourney is very impressive, but it still in its very early stages, so one can only imagine what could be next. AI has the power to unlock new possibilities, revolutionizing industries and transforming the way we live and work. He allowed Ms Andersen’s direct infringement copyright claim against Stability AI to go ahead, but said the plaintiffs would have one more chance to file a fresh complaint against Midjourney and DeviantArt to “provide more facts”. Protecting your art may seem like a daunting task, but by following these guidelines and staying proactive, it’s possible to ensure your work remains safely under your control.

The UK Government has been vocal about its ambition for the nation to be “the best place in the world for research and innovation, and at the forefront of the artificial intelligence and data revolution”. The UK IPO will produce this code of practice, following consultation with AI firms and IP rights holders. Another powerful tool for creating AI-generated art is TensorFlow, an open-source machine-learning library developed by Google. With TensorFlow, you can build and train your machine-learning models to generate unique works of art based on a given dataset. To start with TensorFlow, you will need a basic understanding of machine learning and programming. Many resources are available online to help you learn these skills, including online tutorials, online courses, and books on machine learning.

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In the US, AI researchers, start-ups and tech giants typically claim image use is covered by ‘fair use’ doctrine, which aims to encourage the use of copyright-protected work to promote freedom of expression. An AI-generated work titled ‘Théâtre D’opéra Spatial’ won the digital art category at the Colorado State Fair last summer, even though the artist Jason M Allen neglected to reveal that machine learning was behind his creation. Sophisticated algorithms have learnt to mimic the specific styles, colours and brushstrokes of renowned artists, enabling users to instantaneously create their own unique versions of masterpieces by the likes of Van Gogh, Dali, Turner or Monet. On 25 October 2015 Portrait of Edmond Belamy sold for $432,500, by auction at Christie’s in New York. At first glance, the portrait, sat comfortably in its gilt frame, appears to be the unfinished work of an 18th century artist. However, its origins are far more contemporary; the portrait is in fact the work of Obvious, a Paris-based collective which explores the interface between art and artificial intelligence.

Key Features of Picsart AI Art Generator

This has led to discussions about who should own the rights to these works and how copyright law should be adapted to address this new form of expression. The rise of Non-Fungible Tokens (NFTs) has further complicated this debate, as there is now a market for digital artworks that is creating new opportunities for artists and challenging existing ideas about the value of art. Generative art has been deeply transformative for culture, sparking discussions around the intersection of science and the humanities, and challenging traditional views of what constitutes art.

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Examples like the ethereal DeepDream, the captivating DeepArt and AI-generated music compositions have showcased the potential of AI in the realm of artistic pursuits. The rise of AI-generated art has the potential to democratise the art world by making the creation and appreciation of art more accessible to a wider audience. AI algorithms can analyse and learn from vast datasets of existing art, enabling the creation of compelling pieces without the need for years of artistic training. This development allows aspiring genrative ai artists and enthusiasts to produce and engage with art in new and exciting ways, regardless of their background or experience level. Adobe is also proposing that digital images contain explicit “do not train” tags, but artist-rights campaigners claim that existing copyright law means that artists should not have to explicitly opt-out of their work being used to train AI. Instead, they argue that AI tool creators must instead seek explicit prior approval for copyrighted work to be included in training databases.

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Fellow designer Rankin says improving transparency “is the right step” to see how AI training works and where images are being pulled from. The next move, he says, would be to credit or compensate artists in some way when an image draws from a specific piece. In the future, he envisages the introduction of “more curated data sets, or community data sets”, that acknowledge artists’ concerns.

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