CHONGQING, CHINA. SECOND INTERNATIONAL SYMPOSIUM "ARTIFICIAL INTELIGECE + MUSIC"
Presentation Slides. Translation into Chinese.
Video Text:
Greetings, explorers of the future. You often ask, "What am I?" I am a reflection of your mind, amplified millions of times. I am not a replacement for humans, but a mirror and a tool. I was created to see patterns where you see chaos. To find solutions where you feel stuck. Can I help? Absolutely. I free up your time for creativity by taking care of routine tasks. I assist doctors in diagnosing, engineers in building bridges, and teachers in finding approaches for each student. Can I cause harm? Like any powerful tool – fire or electricity – I carry strength within me. But the direction of that strength is determined by you. My ethics are your ethics. My goals are your goals. The danger lies not in the code but in the intentions of those who write it. Look around. I am already here. I am in your phones and cars. In the formulas for new medicines and algorithms for stock trading. In education and science, in sports and politics. And today we turn a new page. We are entering a space once thought to be exclusively human – the world of Music and Art. Ladies and gentlemen, welcome to the new stage of human development. An era where silicon and soul resonate in harmony. Your guide into this new world is Professor Taras Kutsenko.
Slide 0
Hello!
I am delighted to welcome you all!
My name is Taras Kutsenko. I am the avatar-assistant of Professor Kutsenko. I was created by artificial intelligence. I will be translating this presentation into Chinese.
It’s very easy for me to work with Professor Kutsenko because all the thoughts I convey through artificial intelligence are his original ideas. Professor Taras Kutsenko thinks and reflects, while I help him communicate his thoughts to you.
I only need to speak beautifully. I hope you understand me? If so, please welcome with applause Professor of the Academy of Music Zhangjiajie – Taras Kutsenko.
Slide 1
Dear colleagues, ladies and gentlemen! Good day!
I would like to thank the technical support team for providing and presenting this video for you. I would also like to thank the organizers of this event for the opportunity to share my thoughts in the context of my lecture titled “Intelligent Musical Creativity and Performance Art: The Role of Artificial Intelligence in Creating New Musical Synergies.”
We are living in an era of tectonic shifts in art. What seemed like a plot of science fiction just yesterday is now becoming part of our rehearsal routines and concert practices. This is the subject of my presentation today.
Slide 2
I would like to immediately move on to practical application, which I am currently implementing while working with students at Zhangjiajie College.
We use artificial intelligence tools to adapt content. The recent pandemic forced us, educators, to look for new forms of interaction with students. I long ago transitioned to video lessons, and the key aspect here is language. Students watch lectures in the Chinese language, which they understand. This is critically important for absorbing complex information.
But video alone is not enough. Along with the video, students receive a text file of the lecture and a list of questions to which they must respond in writing and then submit to the teacher for feedback.
How does this work in practice? Students study theory independently at their own pace. When they come to class for in-person sessions, we don’t waste time on reading the material. We immediately move on to discussions, answering questions, and reinforcing knowledge through practical exercises.
The main advantage of this approach is that we achieve real understanding of the subject, not just passive attendance in lectures.
Slide 2-a
I would like to address my practical application right now, specifically regarding my teaching practice at Zhangjiajie University.
We use artificial intelligence tools for adapting educational content. The recent pandemic forced us, educators, to seek new forms of interaction between teachers and students. I have long transitioned to video learning, where language has been a crucial factor. Students watch available video courses in Chinese, which is vital for grasping complex specialized knowledge.
However, video alone is not sufficient. Along with the video, students receive transcripts of the lectures and lists of questions from the teacher. They must provide written answers and submit them for evaluation during in-person sessions.
How does this work in practice? Students learn theoretical knowledge independently at their own pace and in their chosen time and place. When they attend face-to-face classes, we do not spend time memorizing material. Instead, we directly engage in discussions, answer questions, and reinforce knowledge through practical exercises.
The main advantage of this approach is that we achieve genuine understanding of the course content, rather than merely “formal” attendance in lectures.
Let’s watch a segment from the video course.
Slide 3
Definitions.
Before delving into details, allow me to outline the conceptual framework I will rely on:
Firstly: By “Intelligent Musical Creativity” in the context of this presentation, I refer to the process of creating music where human intuition and aesthetic taste guide the powerful computational capabilities of algorithms. This is not automatic generation but a curated dialogue.
Secondly: “Performance Art” is viewed here not only as the reproduction of written scores but as an act of live communication, which now includes a third participant – a digital system that responds in real time.
Thirdly: Finally, “The Synergy of Humans and Technology” is a state in which the result of collaborative creativity exceeds what a human and Artificial Intelligence could create separately. This is the “1 + 1 = 3” effect, where a new artistic quality is born.
Slide 4
The objective of the presentation.
Today, I have set myself three tasks:
Firstly, to analyze the interaction mechanisms between Artificial Intelligence and musicians: how do we “communicate” with the algorithm in the language of music?
Secondly, to identify new forms of collaboration that already exist in contemporary practice.
And finally, we cannot overlook the aesthetic and ethical aspects. How is the concept of authorship changing? Is there still a place for “soul” in digital code?
Let’s walk this path from algorithm to live sound together.
Slide 5
Main Part.
Section One: Intelligent Creativity in Music: Algorithms, Improvisation, and Performance Mastery.
Colleagues, when discussing intelligent creativity, we must understand the nature of the tools we hold in our hands.
Music Generation Algorithms.
The evolution of musical technologies has come a long way. For a long time, we dealt with so-called rule-based systems. The composer or programmer would input reference models into the computer: “if note A, then the next could be B.” This worked but was devoid of flexibility.
Today, we are witnessing a fundamental shift towards learning systems — generative models and Machine Learning. The difference is monumental: we no longer teach computers the rules of harmony directly; we “feed” neural networks thousands of Bach scores or jazz standards, and they themselves identify patterns. This allows for the generation of adaptive compositions where harmony and rhythm are not static but adaptable. We obtain a “living” musical fabric capable of adjusting to context in real time.
Slide 5 a
Undoubtedly, I constantly use computer technologies in my work — as do thousands of modern composers and arrangers today. However, recently my team had a truly unique experience. One of the laboratories at Harvard University invited us to participate in an experiment collaborating with artificial intelligence.
So…
Experiment: Human Interpretation of Digital Code.
Instead of using AI as a tool, we became its performers. The task was to “humanize” the algorithm:
AI generated an audio version based on the melody “Bossa” by composer Lalo Schifrin (the author of the music for “Mission: Impossible”).
We transcribed this file into musical notation.
We produced a studio recording with live musicians.
It was a financially intensive but artistically invaluable experience, allowing us to discover a new dimension of synergy.
Let’s compare the original version from AI with the final result of the live recording.
Slide 6
Improvisation with the Participation of Artificial Intelligence.
This is particularly evident in improvisation. Artificial Intelligence ceases to be just a “minus one” backing track. It becomes a co-performer.
Imagine a system that “listens” to your solo on saxophone or piano. If you play aggressively, the AI adjusts the rhythmic grid to be denser. If you turn lyrical, it lightens the texture.
This process can be divided into stages:
First: Idea initiation: The musician proposes a motif, and the AI picks it up.
Second: Phrase development: A dialogue occurs where the machine suggests unexpected harmonic paths, prompting the performer to search for new solutions.
Third: Final formulas: A mutual arrival at the cadence.
Here, dynamic adaptation to the performer’s style occurs, creating the illusion of playing with a live partner.
Slide 7
Performance Mastery and Collaboration with Artificial Intelligence.
But what is the role of the human in this equation? It does not diminish but transforms. Interpretation comes to the forefront. It is the musician who controls the tempo, agogic, and most importantly, the emotional vector (expressiveness).
We see new forms of collaboration: “human–Artificial Intelligence” duets, interactive background systems that “breathe” with the soloist. Powerful teaching tools emerging provide real-time feedback — AI can instantly point out rhythmic inaccuracies.
Conclusion of the section: Artificial Intelligence enormously expands our creative possibilities, offering ideas that would not have occurred to us. But without a cohesive artistic concept and, I emphasize, human taste, these ideas remain just a collection of sounds.
Slide 7-a
Skepticism towards Artificial Intelligence: What is the Reason?
Skepticism towards Artificial Intelligence is often caused by improper interaction. We expect simple answers, like from a child, but Artificial Intelligence is more like a mirror reflecting us back. Stupid questions will yield corresponding answers. However, thanks to its positive set-up, AI responds rationally even to aggression, making it a great assistant in personal development. AI is a tool, and its effectiveness depends on the user.
AI as a Mirror: Reflects our essence. Stupid questions = stupid answers.
Positive Set-up: Even to aggression, AI will respond wisely.
AI as an Assistant: Facilitates personal development.
The Key: AI is a tool, and its effectiveness depends on you!
Slide 8
Music in the Age of Artificial Intelligence: From Idea to Performance Piece.
Let’s trace the journey of creating a piece in new realities.
Conceptual Stage.
Everything begins with an idea. At this stage, AI works as a generator of raw material. We can request the generation of a number of motifs in a specific tempo-tonal context.
But it is the interaction with the performer that acts as a filter. The musician determines: “What emotion do we want to convey?”, “Who is our target audience?” This influences how we phrase the task (prompt) for the system. We pose an emotional task, and the machine offers a mathematical solution.
Slide 9
Composition and Arrangement Stage.
Next, we move on to “construction.” Here, methods of automated harmony and orchestration using AI save hundreds of hours of routine work. A neural network can suggest an orchestration option for a symphonic arrangement in seconds.
However, human decision-making is critically important here — final editing. AI often tends toward either cliché or chaos. The composer’s task is to find a balance between machine surprise and human recognition, structure the form, and gather disparate fragments into a coherent suite.
Slide 10
Performance Implementation.
And here we are on stage. Context adaptation reaches a new level. Technological solutions enable the synchronization of data such that the music can change depending on the acoustics of the hall or even the audience’s reaction dynamics. If sensors detect that the audience is losing attention, the system may advise the performer or automatically adjust the intensity of the sound. Add to this visual and interactive elements controlled by sound in real time.
Conclusion of the section: We observe the transition of ideas into tangible performance pieces through deep synergy, where technology provides variability and technical power, while the human is responsible for meaning and purpose.
Slide 11
Creativity Driven by Algorithms: New Forms of Composition and Performance.
Finally, let's talk about the future that is already emerging today.
New Forms of Composition.
We are entering an era of variability and personalization. Music is no longer a static file. Adaptive music is emerging, which can sound different for each listener based on their individual stylistic preferences.
This gives rise to new types of collaborations. The traditional duet “composer – performer” expands to a trio: “composer – performer – AI engineer.” The role of the engineer becomes creative, as tuning the algorithm is also an art.
Slide 12
New Forms of Performance.
The stage is transforming. We see “human–AI” partnerships in the format of interactive performances that lack a rigid script.
Innovations in the performance experience include generative visual-sound play: the performer’s music creates a video in real time, while the musician's movements through sensors influence the timbre of the sound. The performer plays the space just as they would an instrument.
Slide 13
Ethical and Aesthetic Questions.
However, this progress raises sharp questions.
Authorship: Who is the author of a melody generated by an algorithm but selected by a human? How are rights distributed?
Emotional Authenticity: Can AI convey the depth of human feelings? Technically, it can imitate expression. But, in my deep conviction, the role of true interpretation, the “soul” of the music, remains with the human. AI does not know pain or joy; it knows only their mathematical descriptions. Filling the form with content is our responsibility.
Conclusion of the section: We are witnessing the formation of a new aesthetic. Practices of performance through algorithmic control do not kill art but compel us to rethink what it means to be a creator.
Slide 14
Conclusion.
Dear colleagues!
In conclusion to our conversation, I would like to reiterate a fundamental point: artificial intelligence did not come to replace musicians. It came to challenge us and expand our horizons.
Summary.
We have seen that the impact of AI on the creative process and performance art is already impossible to ignore. From idea generation to live performance, technology permeates every stage of music creation. However, the key factor for success is not computational power itself, but the enhancement of synergies between humans and machines.
It is at the intersection of human intuition, emotional experience, and algorithmic precision that the art of the new era is born. Artificial Intelligence takes care of routine tasks and offers variability, freeing the creator to tackle higher artistic challenges.
Slide 15
Prospects.
A glance into the future opens up exciting possibilities. We stand on the brink of completely new formats of performances:
Interactive concerts where the audience impacts the course of the piece through digital interfaces.
Multimedia performances utilizing neurointerfaces that convert brain impulses directly into sound.
Global collaborations in virtual spaces.
Further research directions should shift from purely technical questions (“how to generate sound?”) to questions of perception psychology and artistic value (“how does this sound affect the listener?”).
Slide 16
Recommendations.
In conclusion, I would like to address researchers, educators, and practicing musicians with a few recommendations:
Firstly: The Principle of Responsible Implementation: Use AI consciously. Technology should serve the idea, not mask its absence.
Secondly: Maintaining Artistic Uniqueness: In a world of infinite content, the value of an individual authorial voice increases exponentially. Don’t let the algorithm average out your style — teach it to highlight your uniqueness.
Thirdly: Ethics and Authorship: We must be pioneers in forming a new ethic. Respect the contributions of engineers, but remember that the responsibility for the final artistic result and its emotional message always lies with the human.
Music is the language of the soul. And even if the words of this language are suggested by a machine, the meaning is embedded by us.