generative art ai 1
AI has been creating art since the 1970s: the evolution of a paradox
Generative AI Meaning: Understanding the Basics
The AI artist can continuously adapt to the preferences of its collectors, modifying the aesthetics of its works based on feedback from its community of over 5,000 participants. To ensure generative AI serves society without undermining creators, we need new legal and ethical frameworks that address these challenges head-on. Only by evolving beyond traditional fair use can we strike a balance between innovation and protecting the rights of those who fuel creativity. The fair use doctrine was designed for specific, limited scenarios—not for the large-scale, automated consumption of copyrighted material by generative AI.
Over the past few decades, advances in information technologies have allowed firms to move from decision-making on the basis of intuition and experience to more automated and data-driven methods. As a result, businesses have seen efficiency gains, substantial cost reductions, and improved customer service. For one project, our artists drew the main character from every single pose and angle, a handful of background characters and four buildings. Then we can go and make a whole city out of that, and it retains the artist’s style,” said Trillo. “It allows us to do this world building and iterating faster, rather than having the artists do each and every thing.” This isn’t overly shocking when you realize that most of these datasets are crafted by using AI or some related online tool.
Prompt Engineering And Personas
The person devising the dataset tells the AI or tool to generate tons and tons of personas and store them in a dataset. The surprise for many is that the number of AI personas in these datasets is usually in millions or billions of instances. You don’t have to be dogmatic about using the AI personas strictly as specified in the datasets. When AI-generated content competes with human creators, courts are unlikely to view its use of copyrighted material as fair. This process turns a chaotic data ecosystem into something that can be queried with precision.
Why does AI art screw up hands and fingers? – Britannica
Why does AI art screw up hands and fingers?.
Posted: Wed, 15 Jan 2025 08:00:00 GMT [source]
You can invoke multiple AI personas and use just the one from the dataset as the core baseline. Another equally fine approach consists of describing the overall nature of a persona that you want to have invoked. On one side, it invites us to celebrate innovation and the expansion of creativity; on the other, it forces us to confront the limits of our definition of what creation itself means. Perhaps it’s not about determining whether all this is good or bad but about learning to live with a future where these questions will remain open.
And lastly, the biggest concern is that some fear that generative AI might replace human jobs in creative fields. A commonly referenced method of custom-model training is creating LoRAs, which refers to low-rank adaptation. Sources suggested that an IP or specific project could involve creating and applying a set of distinct LoRAs, such as one for a specific character and another for the animation style. I am going to look at one called FinePersonas and another dataset known as PersonaHub. The datasets that provide AI personas are pretty much all relatively similar. The typical format is a spreadsheet-like structure that houses the AI persona descriptions.
Devising From Scratch Or From Dataset
In the film and gaming industries, generative AI creates realistic characters, landscapes, and animations. AI-generated music is also used for background scores and soundtracks. Generative AI meaning can be defined as a type of artificial intelligence that is used to create content. It differs from traditional AI models, which are typically used to recognise patterns or make predictions.
Governments and organizations will likely establish regulations to address ethical and legal concerns. The term “generative” comes from the word “generation,” meaning the creation or production of something. Essentially, generative AI enables machines to simulate creativity and produce outputs that closely resemble human-made content. Companies face a variety of complex challenges in designing and optimizing their supply chains. Increasing their resilience, reducing costs, and improving the quality of their planning are just a few of them.
AUGMENTED HUMANS: “AI, CHECK MY GRAMMAR”
Conventional spreadsheet skills are usually all that you need to know. While fair use—a legal framework allowing limited use of copyrighted material without permission—has long been a pillar of creativity and innovation, applying it to generative AI is fraught with legal and ethical challenges. We can use retrieval + generative technology; grounded on our ontologies and known prior knowledge, to assist in this interrogation. We can begin to identify gaps in our knowledge, areas of contradiction, or create focus and reduce unnecessary duplication.
This technology can help synthesise information into insights you can use, making sense of your data, connecting dots and highlighting patterns that would be impossible for humans to identify alone. Data Engineering is the discipline that takes raw, unstructured data and transforms it into actionable, high-value insights. Without a strong data foundation, the $10M average that 1 in 3 enterprises are spending on AI projects next year alone, are setting themselves up for failure. Generative AI is a new and cutting-edge technology that is changing the way we create and consume content.
Fair use traditionally applies to specific, limited uses—not wholesale ingestion of copyrighted content on a global scale. Yet even with the positives described above, fine-tuning for content creation still holds a plausible degree of ethical and legal risk for studios. Likewise, even as a few AI studios and independent creators pursue new methods, sources told VIP+ the major traditional studios still see legal and consumer backlash risks as reasons not to use AI for consumer-facing content. These studio teams see fine-tuning as a way of executing on original IP developed in-house. Sources reflected that training custom models speeded and scaled artistic output while remaining visually consistent with the original IP or project.
- On one side, it invites us to celebrate innovation and the expansion of creativity; on the other, it forces us to confront the limits of our definition of what creation itself means.
- You don’t have to be dogmatic about using the AI personas strictly as specified in the datasets.
- However, some artists have gone further, involving AI not as a mere passive tool but as an active subject in the creative process.
- It is also used to create synthetic medical data for research purposes.
Sources described this process being done and seen as creatively viable for animation. In-house artists or animators develop a “core set” of original concept art representative of the original character or project. These assets form the dataset used to train any foundation image or video model the studio prefers (e.g., Stable Diffusion). The resulting fine-tuned model can then be used to drive subsequent content creation, whether producing outputs that replicate the studio’s specific characters or an aesthetic style present in the art assets. Generative AI is powered by advanced algorithms and machine learning techniques.
PEOPLE MOVES
For others, if you are conducting a subject-based study and want to have a swath of AI personas, or if you are unsure of what AI persona you want to invoke, these datasets can be quite valuable. Indeed, any kind of large-scale testing of AI or using AI to generate lots of outputs of synthetic data can be streamlined by leveraging an AI persona dataset. That being said, I don’t want to seemingly diminish the heroic and thankful effort of those who put together these datasets. There is admittedly more elbow grease and hard work that goes into establishing a useful and usable personas dataset.
The use cases for generative range over various topics, from writing to art and marketing to healthcare. One important thing to keep in mind is that it must be used responsibly, like any other AI tool. We can make the most of generative AI by understanding its meaning, workings, and implications. “No scraped data will be part of the pipeline once that becomes available,” said Trillo.
Everyone is enamoured with generative AI and state-of-the-art model releases, often overlooking that it’s the data foundation that will make or break your use case (& the relative investment you’ve made). In today’s column, I showcase a novel twist on the prompting of personas when using generative AI and large language models (LLMs). You conventionally enter a prompt describing the persona you want AI to pretend to be (it’s all just a computational simulation, not somehow sentience). Well, good news, you no longer need to concoct a persona depiction out of thin air.
• Automated writing tools might undercut opportunities for professional writers. • AI-generated text might reorganize or paraphrase existing content without offering unique insights or value. While these factors have worked well in traditional scenarios like criticism, parody or education, generative AI presents unique challenges that stretch these boundaries. Generative AI has been making headlines for it’s potential to revolutionise the way we think,work and solve problems, with McKinsey projecting it will contribute up to $4.4 trillion dollars to the global economy annually.
- Though the AI appears to often convincingly fake the nature of the person, it is all still a computational simulation.
- Sources suggested that an IP or specific project could involve creating and applying a set of distinct LoRAs, such as one for a specific character and another for the animation style.
- Generative AI models are trained on vast datasets, often containing copyrighted materials scraped from the internet, including books, articles, music and art.
- All you need to do is search the dataset to find what you are interested in as an AI persona.
Yet the prospect of using generative AI for animation still poses bigger-picture ethical and legal challenges for the industry. No need to derive AI personas from scratch when you can leisurely and conveniently lean into an AI persona dataset. Of course, this is based simply on the numerous speeches, written materials, and other collected writings that suggest what he was like. The AI has pattern-matched computationally on those works and mimics what Lincoln’s tone and remarks might be.
In an amazing flair, the AI seemingly responds as we assume Lincoln might have responded. These cases underscore the difficulty of applying traditional fair use principles to generative AI’s large-scale, automated processes. The answer depends on whether the AI’s use of copyrighted material satisfies the fair use criteria, and in most cases, it does not. • An AI art generator might create an image resembling a copyrighted painting. Generative AI has emerged as a transformative force in technology, creating text, art, music and code that can rival human efforts.
Why AI art will always kind of suck – Vox.com
Why AI art will always kind of suck.
Posted: Thu, 23 May 2024 07:00:00 GMT [source]
In those two examples, I used first a physics teacher and then an art teacher. I might want to run through a wider range of teachers that cover a variety of academic specialties. I then used that text in a prompt and got AI to pretend to be that persona.
Posted: December 2, 2025 10:27 pm
According to Agung Rai
“The concept of taksu is important to the Balinese, in fact to any artist. I do not think one can simply plan to paint a beautiful painting, a perfect painting.”
The issue of taksu is also one of honesty, for the artist and the viewer. An artist will follow his heart or instinct, and will not care what other people think. A painting that has a magic does not need to be elaborated upon, the painting alone speaks.
A work of art that is difficult to describe in words has to be seen with the eyes and a heart that is open and not influenced by the name of the painter. In this honesty, there is a purity in the connection between the viewer and the viewed.
As a through discussion of Balinese and Indonesian arts is beyond the scope of this catalogue, the reader is referred to the books listed in the bibliography. The following descriptions of painters styles are intended as a brief introduction to the paintings in the catalogue, which were selected using several criteria. Each is what Agung Rai considers to be an exceptional work by a particular artist, is a singular example of a given period, school or style, and contributes to a broader understanding of the development of Balinese and Indonesian paintng. The Pita Maha artist society was established in 1936 by Cokorda Gde Agung Sukawati, a royal patron of the arts in Ubud, and two European artists, the Dutch painter Rudolf Bonnet, and Walter Spies, a German. The society’s stated purpose was to support artists and craftsmen work in various media and style, who were encouraged to experiment with Western materials and theories of anatomy, and perspective.
The society sought to ensure high quality works from its members, and exhibitions of the finest works were held in Indonesia and abroad. The society ceased to be active after the onset of World War II. Paintings by several Pita Maha members are included in the catalogue, among them; Ida Bagus Made noted especially for his paintings of Balinese religious and mystical themes; and Anak Agung Gde Raka Turas, whose underwater seascapes have been an inspiration for many younger painters.
Painters from the village of Batuan, south of Ubud, have been known since the 1930s for their dense, immensely detailed paintings of Balinese ceremonies, daily life, and increasingly, “modern” Bali. In the past the artists used tempera paints; since the introduction of Western artists materials, watercolors and acrylics have become popular. The paintings are produced by applying many thin layers of paint to a shaded ink drawing. The palette tends to be dark, and the composition crowded, with innumerable details and a somewhat flattened perspective. Batuan painters represented in the catalogue are Ida Bagus Widja, whose paintings of Balinese scenes encompass the sacred as well as the mundane; and I Wayan Bendi whose paintings of the collision of Balinese and Western cultures abound in entertaining, sharply observed vignettes.
In the early 1960s,Arie Smit, a Dutch-born painter, began inviting he children of Penestanan, Ubud, to come and experiment with bright oil paints in his Ubud studio. The eventually developed the Young Artists style, distinguished by the used of brilliant colors, a graphic quality in which shadow and perspective play little part, and focus on scenes and activities from every day life in Bali. I Ketut Tagen is the only Young Artist in the catalogue; he explores new ways of rendering scenes of Balinese life while remaining grounded in the Young Artists strong sense of color and design.
The painters called “academic artists” from Bali and other parts of Indonesia are, in fact, a diverse group almost all of whom share the experience of having received training at Indonesian or foreign institutes of fine arts. A number of artists who come of age before Indonesian independence was declared in 1945 never had formal instruction at art academies, but studied painting on their own. Many of them eventually become instructors at Indonesian institutions. A number of younger academic artists in the catalogue studied with the older painters whose work appears here as well. In Bali the role of the art academy is relatively minor, while in Java academic paintings is more highly developed than any indigenous or traditional styles. The academic painters have mastered Western techniques, and have studied the different modern art movements in the West; their works is often influenced by surrealism, pointillism, cubism, or abstract expressionism. Painters in Indonesia are trying to establish a clear nation of what “modern Indonesian art” is, and turn to Indonesian cultural themes for subject matter. The range of styles is extensive Among the artists are Affandi, a West Javanese whose expressionistic renderings of Balinese scenes are internationally known; Dullah, a Central Javanese recognized for his realist paintings; Nyoman Gunarsa, a Balinese who creates distinctively Balinese expressionist paintings with traditional shadow puppet motifs; Made Wianta, whose abstract pointillism sets him apart from other Indonesian painters.
Since the late 1920s, Bali has attracted Western artists as short and long term residents. Most were formally trained at European academies, and their paintings reflect many Western artistic traditions. Some of these artists have played instrumental roles in the development of Balinese painting over the years, through their support and encouragement of local artist. The contributions of Rudolf Bonnet and Arie Smit have already been mentioned. Among other European artists whose particular visions of Bali continue to be admired are Willem Gerrad Hofker, whose paintings of Balinese in traditional dress are skillfully rendered studies of drapery, light and shadow; Carel Lodewijk Dake, Jr., whose moody paintings of temples capture the atmosphere of Balinese sacred spaces; and Adrien Jean Le Mayeur, known for his languid portraits of Balinese women.
Agung Rai feels that
Art is very private matter. It depends on what is displayed, and the spiritual connection between the work and the person looking at it. People have their own opinions, they may or may not agree with my perceptions.
He would like to encourage visitors to learn about Balinese and Indonesian art, ant to allow themselves to establish the “purity in the connection” that he describes. He hopes that his collection will de considered a resource to be actively studied, rather than simply passively appreciated, and that it will be enjoyed by artists, scholars, visitors, students, and schoolchildren from Indonesia as well as from abroad.
Abby C. Ruddick, Phd
“SELECTED PAINTINGS FROM THE COLLECTION OF THE AGUNG RAI FINE ART GALLERY”
OUR PARTNERS
