XXVIII Международный конкурс научно-исследовательских и творческих работ учащихся

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Машины творят, а художники живут через свои картины. Что важнее в искусстве XXI века?

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Компанеец Р.А. 1

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1МБОУ СОШ №1 им. А.С.Пушкина г. Верхняя Салда

Михайлова О.В. 1

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1МБОУ СОШ №1 им. А.С.Пушкина г. Верхняя Салда

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Introduction

An artist is a person who sees what no one else sees,

but what is essential and important for everyone to know.

(L. Tolstoy)

Modern technologies are permeating virtually every aspect of our lives, including art. Today, artificial intelligence can create stunning works of art—quickly and efficiently. This raises a lot of debate: will real artists remain in demand, and will traditional art schools and studios continue to exist? This is the question that concerns many talented young people who dream of becoming professional artists.

I'm studying at an Art School and I'm very worried that one day my favorite craft will lose its value. Can programs paint pictures so well that human labor will become meaningless? How will the creative process change if machines begin to create masterpieces faster and more accurately? What will remain for an artist if technology replaces manual labor? These questions appear in my mind more and more often.

That's why I decided to conduct a study comparing real-life painting processes with the achievements of artificial intelligence. I want to prove that human creativity is unique and irreplaceable. I want to prove to myself and other young people that a real painting, created by the hand of a master, has special qualities that digital copies do not possess. Perhaps, exploring the capabilities of artificial intelligence will open new horizons for the development of my profession, allowing me to combine manual craftsmanship and digital technology.

Therefore, the aim of my research is to determine the characteristics and differences between a digital drawing created by a neural network and a drawing made by an artist in terms of detail, expressiveness and the creation process and the possibility of coexistence between artists and artificial intelligence in the future.

Object of the study:

Artistic creativity achieved by humans and modern technologies (artificial intelligence algorithms).

Subject of the study:

Characteristics and differences between the creation of artistic works using artificial intelligence and traditional methods (handwork).

My research hypothesis: a digital drawing created by artificial intelligence will be inferior in detail and expressiveness to a hand-drawn image by an artist.

To achieve this goal, I need to solve the following tasks:

1. Toconduct a questionnaire among the pupils of the 6th-11th grades of our school to find out what they think about real-life painting processes and the achievements of artificial intelligence in art;

2. To search through the necessary literature, documents, and websites to find the necessary information;

3. To interview a teacher of Art Department of the local Art School, a member of the Union of Watercolorists of Russia, a member of the International Organization of Art Teachers, Svetlana Gennadyevna Uglova;

4. To create a drawing using a traditional method and compare it with an image generated by a neural network;

5. To compare the illustration for Leo Tolstoy's Book "Filipok" by artist Gennady Spirin and a drawing for the same excerpt of this work, generated by a neural network;

6. To identify the pros and cons of each method;

7. To analyze the obtained material and compare the advantages and disadvantages of each method in order to decide if artificial intelligence will be able to replace artists in the future.

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1. Theoretical Part

   1. Drawing is the Most Important Area of ​​Artistic Creativity

The world around us is an inexhaustible source of artistic creativity. For every artist, reality reveals ever new facets of understanding the laws of nature. The essence of a creative person's artistic endeavor is the application of the laws of nature to the practical goals of fine art. [5]

Humanity's turn to creativity is nothing than an imitation of nature. From the earliest days of human development, our ancestors grasped the idea of ​​imitating nature in everything, seeing in it a means of survival. It is precisely in this approach to the world that humans perfect themselves, creating the tools necessary for life—hunting, labor, clothing, shelter, utensils, and so on—borrowing everything from nature. Without knowledge of the laws of life and nature, without practical artistic experience based on the rules of visual perception and realistic depiction, an artist as a creative individual will not succeed. For to live and create—in the visual arts—is to observe, remember, analyze, compare, contrast, draw, paint, sculpt, compose, and… torment themselves with images on a daily basis. The artist's need for mastery over their own world of thoughts and feelings has always existed.

Drawing is the fundamental principle of all forms of fine art. An artist begins work on a painting by first conceiving it, then gathering extensive preparatory material, consisting of pencil sketches, drafts, studies, and drawings of all the elements of the future work. Before painting in oil or tempera, he or she begins with a mandatory, meticulously detailed drawing on canvas, capturing the subtleties of light and shadow. This is the law of painting. None of the world's leading masters of painting ever began a painting—a landscape, a portrait, a still life, etc.—with paints without a drawing on canvas, the so-called "cardboard."[2]

Contemporary fine art is multifaceted and diverse. It encompasses a vast array of disciplines, many of which do not require realistic drawing skills.

However, the practice of fine art shows that the ability to draw well is essential for an artist, regardless of their chosen creative direction.

The diversity of fine art does not diminish the role of realistic drawing as an essential element in understanding the world around us; rather, it enhances its significance.

Depending on their purpose, several types of drawing are distinguished: linear, constructive, and tonal. Tonal drawing became the pinnacle of realistic depiction in conveying character, movement, volume, space, materiality, and the emotional state of the subject.

A drawing can be a sketch, that is, a short sketch where it's important to convey the character of the subject. They are valued for their expressiveness and persuasiveness, rather than the precision of the drawing. Another type is a scribble, which is longer and more thorough than a sketch. Here, the properties and structures of objects are explored. And one more kind is sketches, which are preparatory drawings before starting a larger painting.

Drawing can be educational and solve educational problems, or it can be creative and solve creative problems.

It is created with a variety of materials, each offering a wide range of plastic possibilities. Each imparts a special charm and appeal to the drawing.

To create a high-quality drawing, one must possess not only a vast knowledge of fine art, but also a knowledge of physics, mathematics, botany, zoology, anatomy, and so on.

Essentially originating with humanity itself, drawing has come a long way from primitive lines to masterpieces of realistic art.

Visual arts promote the development of thinking, visual perception, cognition of reality, familiarity with the specifics of artistic language, and so on. Almost anyone can learn to draw. Of course, not everyone, even those with natural talent, becomes an outstanding artist or master of decorative and applied arts. To achieve this, one must develop many qualities, especially work ethic and creative thinking, coupled with artistic mastery (technical excellence).

1. 2. Artificial Intelligence in Art

Let's take a look at what a neural network is. A neural network is a program used to process data and optimize processes. Although the terms "artificial intelligence" and "neural network" are associated with the human brain, a neural network is, in fact, primarily software. It doesn't possess the same capabilities and characteristics as the human brain. However, it's interesting that the process of training a neural network and the human learning process have some similarities.[4][6]

The human brain consists of neurons that are connected by synapses and transmit electrochemical signals. A neural network, in turn, consists of artificial neurons—computing elements based on biological neurons.

Artificial intelligence (AI) in art and creativity is the application of machine learning algorithms to create new artistic works or analyze existing ones. For example, GigaChat is a free Russian-language neural network that communicates in human language and can write and translate texts, check texts for errors, write poetry, songs, and fairy tales, draw pictures, create images, and analyze data sets. These are just a few of the many possibilities.[1]

Why is the topic of AI in the arts causing such a stir? Firstly, it's a clash of two seemingly opposing worlds: logic and emotion, that is, reason and creativity. Secondly, it challenges our notions of art, authorship, and originality. And finally, it's simply incredibly exciting!

Artificial Intelligence in Art Creation

Artificial intelligence (AI) has confidently entered our lives, transforming virtually every area of ​​life. Art is no exception. Today, neural networks are capable of painting, composing music, writing poetry, and sometimes even surpassing human creativity. But what is artificial intelligence in art and creativity, and how are its algorithms changing our world?

A neural network is a type of machine learning in which a program operates on the principle of the human brain. Neural networks are mathematical models that draw inspiration from data generated by the human brain. These networks consist of many connected nodes responsible for processing information and transmitting it between other neural networks. During training, a neural network discovers patterns in the data and learns to reproduce them.

Artificial Intelligence as a Tool for Art Analysis

Imagine giving a computer a huge number of paintings, such as portraits. The computer begins to analyze these paintings, identifying common features: how the eyes, nose, and mouth are drawn, what colors are used. The computer then attempts to create its own painting using this knowledge. This explains, in a very simplified way, how neural networks, the foundation of artificial intelligence in creativity, work.

The use of artificial intelligence in art is radically changing traditional analysis methods. AI studies vast databases, regardless of the field it works in. The subject of its research is collections of works by famous artists and sculptors. Images, styles, themes, and facts are studied all the time.

The simplest example is image generation, which many users already know how to order from a neural network.

Artificial intelligence in the visual arts can create photorealistic portraits of people who never existed, as well as landscapes ranging from fantastical to realistic cityscapes. Neural networks generate dynamic works that respond to user interactions. For example, a painting can change colors based on sound or movement.

An artist can transform old photographs in seconds, giving them new properties (for example, changing clothing). In order to work in this new creative environment successfully, artists of the future will need to know the basics of programming and understand the principles of neural networks and other machine learning algorithms.

The Interaction of AI and Human Creativity in Art

  Online platforms allow creative people to easily share opinions and discuss creative results created with AI.

1. Sber's GigaChat can not only write and translate texts, but also generate images, write poems and fairy tales, and design postcards in any style.

2. Neural networks like GANs (Generative Adversarial Networks) can "draw" completely new images that never existed before. They learn from massive amounts of data and generate new images based on this knowledge. These are the technologies of the future.

2 Practical Part

2.1 Questionnaire

In order to achieve the goal of my project, I conducted a questionnaire among the pupils of the 6th-11th grades of our school to find out what they think about real-life painting processes and the achievements of artificial intelligence in art as well as their thoughts about their future coexistence. (Annex A)

This survey includes the following questions:

1. Which process seems simpler to you?

a) Working with a neural network

b) Real hand drawing

c) Both options are equally simple

2. Which tool helps to achieve the desired result faster?

a) Neural Network

b) Traditional drawing

c) It depends on the situation

3. How important is the creative process for you personally?

a) It is very important, I enjoy drawing

b) A creative process is less important, the main thing is the result

c) I don't care how I get my drawings

4. What advantages do you see in using a neural network for creativity?

a) The ability to create complex compositions quickly

b) Ease of making changes

c) There are no special advantages over traditional drawing

5. What is the most attractive aspect of traditional drawing?

a) A sense of self-expression and uniqueness of each drawing

b) Control over each stage of drawing

c) The process causes fewer technical difficulties

6. Who or what can accurately convey the intended idea of a drawing?

a) A person, an artist

b) Neural Network

c) I find it difficult to answer

7. Is there a chance that neural network technologies will replace manual creativity in the future?

Well, I would like to let you know the results of the survey. (Annex B)

The first question is: Which process seems simpler to you?

I want to say that the children's opinions were equally divided! 33% of respondents believe that real drawing is better for them, 33% think that it is easier to paint a picture using artificial intelligence, and for 34% both processes seem equally acceptable.

The second question is:Which tool helps to achieve the desired result faster?

The majority of respondents (54%) believe it depends on the situation, but the remaining students have been divided on this issue. 17% believe that artificial intelligence can help them achieve their desired results faster, while 24% have voted for real drawing.

The third question is: How important is the creative process for you personally?

The answer to this question pleased me, as the majority of respondents (57%) have noted that the creative process is important to them. However, 15% of respondents have said they don't think at all about how they create their drawings.

The fourth question is:What advantages do you see in using a neural network for creativity?

Almost half of the students surveyed said the most important advantage of using artificial intelligence in art is the ability to create complex compositions quickly. I can assume that this allows our young people to save time for more serious endeavors. For the same reason, 37% of respondents noted that artificial intelligence makes it easier to correct drawings.

The fifth question is:What is the most attractive aspect of traditional drawing?

Analyzing the answers to this question, I came to the conclusion that our teenagers love to draw without using artificial intelligence, since 41% of those participating in the survey have said that they are attracted to real drawing by the sense of self-expression and uniqueness of each drawing, and 35% have noted that with this type of drawing they can control each stage of the drawing, which cannot be done using artificial intelligence.

The sixth question is:Who or what can accurately convey the intended idea of a drawing?

Surprisingly, the majority of students surveyed (84%) have said that artists can accurately convey the intended idea of ​​a drawing, but only 7% believe that this could be better accomplished using artificial intelligence. Analyzing these responses made me even more eager to test my project's hypothesis.

The seventh question is:Is there a chance that neural network technologies will replace manual creativity in the future?

I must say that 67% of respondents believe that there is no chance that neural network technologies will replace manual creativity in the future, but all the others think differently or are unsure about the answer.

Conclusion:having analyzed all the information obtained through the questionnaire, I could say with confidence that the pupils of my school are interested in prosses of drawing. Although they understand the benefits of using AI in art, they like real drawing because of uniqueness of each drawing, moreover, they consider that with this type of drawing they can control each stage of the drawing. However, a sufficient number of respondents are confident that artificial intelligence will replace artists in the future. I believe there is a reason to check and analyze all the questions that interest me more thoroughly!

2.2An Interview with a Teacher of Art Department of the Local Art School, a Member of the Union of Watercolorists of Russia, a Member of the International Organization of Art Teachers,

Svetlana Gennadyevna Uglova

To gain my goal, I`ve decided to ask the opinion on this issue of a teacher of the art department of the Art School, a respected artist, a member of the Union of Watercolorists of Russia, a member of the International Organization of Art Teachers, Svetlana Gennadyevna Uglova who has got her experience holding exhibitions of her own paintings.(Annex C)

-Svetlana Gennadyevna, can artificial intelligence replace the work of an artist?

-Neural networks truly foster the development of imagination, giving the brain more freedom for wild ideas, and they also provide a quick start for sketching out the desired concept. However, they are unlikely to replace artists completely. Art is not just technique. Artists create works of art, masterpieces, relying on their experience, emotions, feelings, and inspiration. A painter senses the beauty of the physical and spiritual world, the emotionality and depth of their works, and conveys this through his work. They also imbue their works with a unique style, individuality, and originality, which no artificial intelligence can replicate.

I should say that neural network, lacking experience, emotions, feelings, and inspiration, cannot compare to artists in terms of creating works of art that has lasted for centuries. It only processes large volumes of data, answers to questions, and, therefore, can be used to create graphic elements and effects. But it cannot create a work of art with the feeling, style, and individuality that only artists can achieve.

Moreover, painters also have a certain technical training. They use different materials and techniques in their work. Artificial intelligence lacks such technical training. Its capabilities are limited, and so it creates a specific set of effects and elements.

- Is it possible to create an idea from scratch using AI?

-A neural network can't create an idea from scratch. We can train it using given examples, and in this case, it will produce a result based on its database.

This database typically contains information about previously created artworks, so the neural network can only attempt to replicate the idea dictated to it, recreating and combining something based on an existing data library.

Experience, professional background, and a sense of beauty enable an artist to create an original work and a new style. Of course, it takes much more time and resources. But it will be a fundamentally high-quality, original work, unlike typical images generated by a neural network.

- What about complex artistic tasks? Can AI handle them?

- A large, complex task is incomprehensible and difficult for a neural network. Even if you create a highly detailed prompt, the neural network will be unable to process it.

Breaking a large, complex task into several simpler ones also won't produce the expected result: the neural network will be able to make minor adjustments, but it won't consider the overall task's goals and cause-and-effect relationships. The result: disparate images that will inevitably require refinement.

Only an experienced artist can work on a project while maintaining the style, narrative image of the characters, detail, and conceptual integrity.

- How does AI help artists today?

- An artist and AI can develop a friendship or even a working relationship, which is even necessary.

The artistic value of a drawing is determined by how much of the artist's input it contains. AI can also help provide the necessary foundation upon which artistic decisions will be based.

Let's consider how AI can be useful to an artist.

First, it can help create a foundation for a drawing. A neural network can visualize the necessary forms, which will be easier to outline then: buildings, landscapes, mountain ranges, trees, etc.

Second, during the concept of a development stage of a drawing, searching for references can sometimes be time-consuming. In this case, an artist can use AI to recreate the desired scenes themselves, specifying the necessary parameters: style, imagery, and objects.

Furthermore, a neural network can help refine the work, refine the necessary textures, and add volume to objects in the scene.

- Svetlana Gennadyevna,is there a profession of the future that combines the work of an artist with the use of AI?

- Well, the advantages of AI include high speed, details, and flawless rendering. However, compositional decisions, a sense of proportion, balance, and style are inherently unattainable for artificial intelligence. This is why studios and companies are currently introducing the profession of neuroartist—a specialist who creates visual content for a product using generative neural networks. Typically, this person has an art education, an understanding of the fundamentals of drawing, and a keen eye for details. Thanks to this, they can analyze the art generated by AI, identify flaws, and correct them (often manually).

In any case, knowledge of neural networks is a significant advantage and potential opportunity for any modern artist. However, only another artist, more experienced and competent, can replace an artist. This means that acquiring new skills and knowledge (including working with neural networks) is essential for any specialist to stay relevant and discover new things in the visual arts!

- Still, what future do you see for artists?

- I believe the use of neural networks could be beneficial for artists. AI provides artists with new tools and conditions for creativity and self-expression. Neural networks can generate new textures, colors, and shapes that artists then incorporate into their work. It also automates routine tasks, such as color correction and image retouching. It frees artists to focus on creative work.

Artists can also use neural networks to speed up the creation of artwork. AI will help creators create drawings, diagrams, sketches, and other elements. This will allow painters to focus on working with more complex and unique elements and details.

As you can see, artificial intelligence is a tool that must be learned to use correctly and applied to generating ideas and identifying individual elements, so that it can be realized in the future. Resisting neural networks is as pointless as it was when the camera was invented. Back then, there were artists who rejected the new technology, thinking it would take away their jobs. Today, however, we see that painting and photography coexist beautifully, and sometimes successfully complement each other. Most likely, neural network artists will simply become a new genre of contemporary art, on par with photography and other creative forms.

I think that a person who loves to draw will still draw, and he will create works with his hands, because when you draw, you live life with a painting. And most likely, in our age of tremendous progress and machine learning, we will value human creativity even more. And, as a result, living art itself will experience a new round of development and popularity. Therefore, I suggest that artists should not ignore the advantages of neural networks, which will certainly help them explore new techniques and styles of painting, and, perhaps, inspire them to create unique and original works.

2.3Analysis of the Article "Will Neural Networks Replace Artists? 4 Reasons Why This Won't Happen"

Moreover, I analyzed the article written by Anastasia Terentyeva, "Will Neural Networks Replace Artists? 4 Reasons Why This Won't Happen." published on the website of the Moscow school of digital drawing and computer graphics «Smirnov School». I found this article interesting because it features the opinions of five active artists and teachers of this school. I'd like to briefly highlight these reasons, which, by the way, are closely intertwined with the opinion of my Art teacher, whose interview you read earlier.[7]

The first reason why a neural network is unlikely to replace artists is that it can't generate ideas. A neural network needs an idea or concept, which it can then implement using its database. Artists remain the ones who create interesting and conceptual content. A neural network can only attempt to replicate a given idea as it sees fit, but only an artist can currently utilize consistent, proven experience and knowledge.

The second reason: A neural network can perform the task you assign it, especially if trained correctly, but it won't be able to repeat exactly the same thing with minimal changes. Only an artist can do that.

Another important point that becomes very clear when an artist works with a neural network is its lack of understanding of what "beautiful" means. It doesn't refer to the concept of "beauty" itself—that's unique and relative to everyone. Rather, it refers to "beauty" in the context of the correctness of the drawing. A model can create a detailed piece of art, but it will be far from beautiful in terms of composition or the overall feel of the work. Even if a studio or company uses a neural network, it can't do without an artist—with their knowledge and experience, they can analyze the resulting work and identify any flaws that affect the drawing, and subsequently correct them—improving the composition so the drawing is more appealing to the reader, adding surrounding objects that will capture attention and guide the viewer to the main point of the drawing. And all this is only part of the solution.

The fourth reason is that complex tasks in any artistic project are sometimes challenging even for artists, as they involve numerous nuances and details that must be addressed. Entrusting a complex task to a neural network is unlikely to produce anything good—integrating it into the prompt itself will be difficult. But that's not the only difficulty—even breaking a large task into many smaller ones poses another problem, which we've already discussed: the neural network's inability to make small, targeted changes to a drawing without affecting the entire structure.

What does all this mean for an artist? A neural network can't replace artists who are skilled at taking a comprehensive approach to projects and are able to build and work with cause-and-effect relationships. Analysis and accumulated life experience should also be added here. Artists require constant development! If something new emerges (AI), it must be studied so that it can be applied later, if necessary.

2.4 A Comparative Analysis of the Drawing Made by the Author of the Project and its Analogue Drawn by Artificial Intelligence

Art is a way to express oneself, one's inner essence, and one's worldview. A drawing created by an artist's hands carries something special: the artist's emotions, feelings, and experiences. Every line, stroke, and brushstroke reflects the artist's individuality, his or her mood, and attitude toward the subject. This is why many believe that art is not simply a depiction of objects or phenomena, but a communication of the soul, character, and idea of ​​a work.

Today, we live in an era of rapidly advancing technology, among which artificial intelligence occupies a special place. Modern programs can create paintings that imitate the styles of famous artists or create unique images. But an important question arises: can artificial intelligence convey the concept, idea, character, and soul of a drawing?

To answer this question, it is important to compare drawings created by humans and those created by artificial intelligence. It is important to assess how significantly the approaches to image creation differ, the means by which artists express their vision of the world, and how a machine accomplishes this task. Such research allows me to understand the capabilities and limitations of modern technologies in the field of art better and determine what distinguishes the creation of the human mind from the output of an algorithm.

I'm a third-year pupil at our local Art School, so one of my recent works, "Evening Song," created in composition class during an annual plein air sketch of a church, has been used for this experiment. It depicts the serene joy of evening, the vibrant calm of the "golden hour."(Annex D)

To complete the practical part of my work, I have turned to the free Russian-language neural network GigaChat, which communicates in human language and can write and translate texts, check texts for errors, write poetry, songs, and fairy tales, create images, and analyze data arrays. For comparison, several variations of my drawing have been created in Giga Chat neural network. To ask a neural network to draw, I`ve specified a precise and detailed text query. I have used the following one, in which I tried to display all the features of my drawing:

«Depict a bright, static, peaceful scene at sunset, showing a white cross-domed church with dark purple domes and gilded crosses, against the backdrop of which are two white azure tits perched on four white and purple ears of corn, enclosing the church in a compositional ring».

Drawing made by Rada Kompaneets Drawing made by artificial intelligence

To the casual observer, they may seem almost indistinguishable from paintings by real artists, but upon closer inspection, clear signs can be seen that distinguish them from human work.

First and perhaps most noticeable: the lack of obvious dynamics in the work. Dynamics is one of the most important aspects of any work. It may not be clearly expressed in moving scenes and fluid figures, but it should be evident in the diagonals of the compositional structure and individual figures. This is clearly visible in the white birds perched on the ears of grain, which express no emotion, but is beautifully expressed through rhythm in the wildflowers. In my drawing, movement is shown using the same birds perched in different corners of the composition and through a rhythmically repeating combination of two shades – light yellow and eggplant.

Second, but not less important, is the lack of color variety in the work. Sunset light – a beautiful shimmer of sunlight, which inevitably leaves bright highlights, and color reflections – the influence of adjacent colors on the subject. AI-generated drawings beautifully convey twilight, using ash-grey colors, but they practically lack volume and depth – essential elements of any painting, which are created through diverse color infusions and gradients. In my work, the emphasis is, on the contrary, on a variety of shades.

Overall, I can say that in a drawing made by artificial intelligence there is no mood, depth, movement. I am sure that life that can be seen in a drawing made by a person.

2.5 A Comparative Analysis of the Illustration for Leo Tolstoy's Book "Filipok" by Artist Gennady Spirin and its Analogue Drawn by Artificial Intelligence

In the second part of the experiment, I have decided to analyze an illustration by a professional artist and an AI-generated one to compare how well modern technologies can convey several points at once: the ability to create multi-figure compositions with people, human facial expressions, background detail, character, and the concept of the drawing.(Annex E)

For this, I have used Gennady Spirin's illustration for Leo Tolstoy's short story "Filipok," which relates to the following passage:

"Filipok went to school. In the entryway, he took off his hat and opened the door. The school was full of children. Everyone was shouting their own words, and the teacher, wearing a red scarf, walked in the middle.

"What are you doing?" he shouted at Filipok. Filipok grabbed his hat and said nothing." and the AI-generated image.

To ask a neural network to draw, I specified a precise and detailed text query:

«A village school from the early 20th century. The walls are log, the floor is plank. Posters and atlases are on the walls. It's cool in the school. On the left: a classroom is full of children, some are wearing bast shoes, some girls are wearing headscarves. Everyone is shouting, some are reading, some are talking. In the middle, between the children, a teacher is standing. He is wearing a long red scarf, blue pants, black boots, and a long jacket. He is wearing glasses. On the right: in front of them there is a boy of 6 or 7 years old, wearing felt boots, looking guiltily at the floor, clutching a fur hat in front of him, holding an alphabet book in his hands. The teacher has shouted at the boy».

As a result, having compared these illustrations, I can draw the following conclusion:

The illustration, drawn by Gennady Spirin specifically for the book, conveys the sensuality and tension of the scene. It primarily uses warm, muted tones, suggesting the shadows of a Russian wooden hut. The drawing is divided into three parts. The first one features the main figures: a teacher, a tall, fair-haired man with glasses and a kind face, and Filipok, a boy of about six holding a large fur hat and holding an alphabet book. The second and third parts feature peasant children, pupils in a variety of colorful but discreet clothing, reading and conversing among themselves, against a backdrop of a wooden wall covered with posters. Each character is well-developed and has its own distinct personality: Filipok has his head shamefacedly lowered to the floor, the teacher is slightly tense but still maintains a calm and stern demeanor, which belies the text, which states that the teacher "shouted at Filipok," and the children are whispering among themselves.

The image generated by the neural network is radically different from the artist's work. The colours are bright and vibrant, as if in daylight, creating accents on individual objects and the main characters. The image is also divided into several parts, which like Spirin's illustration. Their clothing is colorful and eye-catching, and their emotions, in keeping with the prompt, are exaggerated. The background is depicted as a simple Russian hut with school posters on the walls, more reminiscent of modern ones. The minor characters are the boys communicating with each other actively, Filipok in the foreground cowers in fear while the teacher leans over the boy in rage. Unlike an artist's drawing, the AI's work is not detailed - the faces of minor characters, the letters on the book covers, the posters on the wall are blurred and deformed. I should point out that they are usual hallmarks of AI work.

As you can see, I tried to adjust the drawing by entering information in the prompt several times, adding it, but the AI ​​couldn't make any changes. Now I am sure that breaking down a large, complex task into simpler ones also didn't give the expected results: the neural network made changes, but it didn't take into account the overall task's goals or cause-and-effect relationships. The result: disjointed images that will inevitably require refinement. Only a professional artist can make precise adjustments at any stage of the work, develop an idea, and explore it from different angles.

In conclusion, I'd like to note that Gennady Spirin created the illustrations for the book based on his experience and feelings. He senses the beauty of the physical and spiritual world, the emotionality and depth of works, and he conveyed all these through his work. He also imbued the illustrations with a unique style, individuality, and originality, which no artificial intelligence can replicate.

Therefore, only an experienced artist is capable of working on a project while maintaining the style, narrative image of the characters, detail, and conceptuality.

Conclusion

After analyzing all the materials, I came to the conclusion that I carried out the goal of my project. I plunged into this work with my head and conducted a very important analysis.

First of all, I have carried out a questionnaire among the pupils of 6-11 forms and found out what they think about real-life painting processes and the achievements of artificial intelligence in art as well as their thoughts about their future coexistence. With the help of it, I’ve come to the conclusion that although they understand the benefits of using AI in art, they like real drawing because of uniqueness of each drawing, moreover, they consider that with this type of drawing they can control each stage of the drawing. However, a sufficient number of respondents are confident that artificial intelligence will replace artists in the future.

Secondly, I`ve interviewed a teacher of the art department of the Art School, a respected artist, a member of the Union of Watercolorists of Russia, a member of the International Organization of Art Teachers, Svetlana Gennadyevna Uglova who has got her experience holding exhibitions of her own paintings. She has shared her ideas on the integration of artificial intelligence into artistic work and whether AI could replace this profession in the future. She showed me all the aspects of drawing where artificial intelligence is unable to convey the desired idea. What is more, she has said that artists should not ignore the advantages of neural networks, which will certainly help them explore new techniques and styles of painting, and perhaps inspire them to create unique and original works.

Thirdly, I have compared drawings created by humans and those created by artificial intelligence. It has been important to assess how significantly the approaches to image creation differ, the means by which artists express their vision of the world, and how a machine accomplishes this task. Such research has allowed me to better understand the capabilities and limitations of modern technologies in the field of art and determine what distinguishes the creation of the human mind from the output of an algorithm.

All in all, with the help of my research, I have convinced that artificial intelligence is opening up new horizons of possibilities for humanity. Technology is rapidly advancing, offering ever more tools for creativity and self-improvement. However, despite all the power and promise of artificial intelligence, it will never be able to completely replace the practice of real drawing.

Thanks to my work, I gained experience in writing a research paper and improved my level of English. I think that my project will be extremely interesting and useful for people who are interested in Art and for lovers of the English language.

In conclusion, I`d like to say that painting and drawing remain an important element of human culture, a way to express inner experiences and ideas. The process of drawing brings joy, inspiration, relaxation for both mind and body, and serves as a means of communication and mutual understanding. Artificial intelligence will become our faithful companion, expanding the boundaries of what is possible, but true masterpieces will be created by humans, for they contain the unique imprint of the human soul and heart.

Bibliography

1. A. Voronkova, Creators of the Future. Digital Art and Artificial Intelligence - "Piter," 2025, Chapter 1

2. A. F. Shembel, Fundamentals of Drawing. - Moscow: Higher School, 1994

3. E. N. Kulakova, The Secret of Longevity: Why You Need to Draw to Be Healthy and Live Long. - "NORTH" Integrated Social Services Center, 2022

4. Stuart J. Russel and Peter Norvig, Artificial Intelligence. A Modern Approach.- Moscow: Pearson,2021

5. V. M. Saunina, Drawing, Fundamentals of Visual Literacy for Beginners. - Ridero Publishing System, 2018

6. https://developers.sber.ru/help/gigachat-api/ai-in-art

7. https://ogivitel-art.com/hudozhniki-protiv-nejrosetej/

8. https://smirnov.school/blog/health-and-career/neiroseti-i-hudozhnikov/

AnnexA

AnnexB

Annex C

An Interview with a Teacher of Art Department of the Local Art School, a Member of the Union of Watercolorists of Russia, a Member of the International Organization of Art Teachers,

Svetlana Gennadyevna Uglova

Annex D

Drawing by Rada Kompaneets

Drawing made by artificial intelligence

Annex E

The Illustration for Leo Tolstoy's Book "Filipok" by Artist Gennady Spirin

Its Analogues Drawn by Artificial Intelligence