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AI Generated Art

Yogyakarta, Minggu, 5 Februari 2023

Djoko Luknanto: AI generated art

ChatGPT: AI generated art refers to artwork that is produced by artificial intelligence algorithms and machine learning models. This type of art can range from abstract images to photorealistic paintings and can be created through techniques such as deep learning, generative adversarial networks, and neural style transfer. AI generated art is still a relatively new field and is rapidly evolving, with new techniques and tools being developed to produce more complex and sophisticated works of art.

What the issues of that?

There are several issues with AI generated art, some of which include:

1. Authorship and ownership: Who should be credited as the author of an AI generated work of art, the artist who created the algorithm, or the machine itself? This raises questions about intellectual property rights and the ownership of AI generated art.
2. Lack of originality: Some argue that AI generated art lacks originality and creativity, as the algorithms used are often based on existing works of art and can only produce variations of what has already been created.
3. The commercialization of art: The rise of AI generated art raises questions about the commercialization of art and the impact it may have on traditional artists and the art market.
4. Bias and discrimination: AI algorithms are only as unbiased as the data they are trained on. If the data used to train a model is biased, the generated art may also contain biases and perpetuate discrimination.
5. Ethical considerations: There are also ethical considerations around the use of AI in the creation of art, such as the potential for AI to automate jobs previously performed by human artists and the impact this may have on the livelihoods of artists.

Comparison of AI generated art and AI generated text

AI generated art and AI generated text are both examples of creative outputs produced by artificial intelligence algorithms. However, there are some key differences between the two:

1. Creativity: AI generated art often requires a higher level of creativity, as it needs to visually capture and express concepts and ideas. AI generated text, on the other hand, can rely more on synthesizing existing information to produce coherent outputs.
2. Training data: The type of data used to train AI algorithms for generating art and text can vary greatly. AI generated art is often trained on images and visual data, while AI generated text may be trained on written text and linguistic data.
3. Human input: AI generated art and text can be produced with varying levels of human input and control. Some AI generated art and text may be entirely created by AI algorithms, while others may be guided or edited by human artists or writers.
4. Quality: The quality of AI generated art and text can vary greatly, depending on the algorithms and models used, the quality of the training data, and the level of human input. Some AI generated art and text may be highly sophisticated and indistinguishable from human-created works, while others may be low quality and lack originality.

Overall, both AI generated art and text are growing areas of AI research and development, and both have the potential to disrupt and transform the creative industries.

Comparison of copyright infringement

Copyright infringement refers to the unauthorized use of someone else's creative work. In the context of AI generated art and text, the issue of copyright infringement can arise in several ways:

1. Use of existing works: AI algorithms used to generate art and text can be trained on existing works, which may infringe on the copyrights of those works.
2. Ownership of generated works: If an AI algorithm generates a new work of art or text, the question of who owns the copyright to that work may arise. Some argue that the copyright should belong to the creators of the AI algorithm, while others argue that it should belong to the machine itself.
3. Unauthorized use: AI generated works may be used without permission by third parties, which may infringe on the copyrights of the original works used to train the algorithms.
4. Fair use: In some cases, the use of AI generated works may be considered "fair use" under copyright law, which allows for limited use of copyrighted material without permission for purposes such as criticism, commentary, news reporting, teaching, scholarship, or research.

It is important to note that the issue of copyright infringement in the context of AI generated art and text is still largely unresolved and is a complex and evolving area of law. It may take time for legal and regulatory frameworks to catch up with the rapid advancements in AI and machine learning.

Some peoples suggest that AI generated art do not use live artists

Yes, some people argue that AI generated art may render human artists redundant and lead to job losses in the creative industries. This is because AI algorithms can automate some of the tasks that human artists have traditionally performed, such as creating images, music, and writing.

However, others argue that AI generated art will complement, rather than replace, human artists. They believe that AI generated art will provide new tools and resources for human artists to use in their own creative processes, and that the art produced by AI algorithms will still require human interpretation and understanding.

It is important to note that the impact of AI generated art on human artists will depend on many factors, including the quality and sophistication of the AI algorithms, the level of human input required, and the willingness of human artists to adopt and integrate AI tools into their own creative processes. Ultimately, the relationship between AI generated art and human artists is complex and multifaceted, and the effects of AI generated art on the creative industries will likely be shaped by a range of social, economic, and technological factors.

Can you suggest any AI generated art application

Yes, there are several AI generated art applications available today, including:

1. Deep Dream Generator: An online platform that allows users to generate their own unique AI generated images using a deep learning algorithm.
2. PaintsChainer: A deep learning tool that can be used to colorize black and white images and generate new artworks.
3. Artbreeder: An AI art platform that allows users to breed and evolve new artworks by combining existing images and styles.
4. AI Dungeon: An AI text adventure game that generates unique stories based on user inputs.
5. AI Music: A set of AI algorithms that can generate music in various styles and genres, from classical to pop.
6. GPT-3 Poetry: A tool that uses OpenAI's GPT-3 language model to generate poetry based on user inputs.

These are just a few examples of the many AI generated art applications that are available today. The field is rapidly evolving, and new AI generated art tools and platforms are being developed all the time.

Please give me a text that I will input it to the first application above to give a good art

Here is a sample text you can input into the Deep Dream Generator application:

"Create an abstract image with vibrant colors and intricate patterns inspired by the beauty of nature."

One more text, a longer one

Here is a longer text you can input into the Deep Dream Generator application:

"Generate an surreal landscape filled with dream-like elements and imaginative creatures. The sky should be a mixture of pastel colors and the ground should be covered with strange vegetation. The creatures should be inspired by the shapes and forms found in nature, but with an otherworldly twist. The overall mood should be peaceful and dreamy, like a visit to a magical world."