Portrait of Putri Lumban Gaol, AI Super Professor
AI Super ProfessorDoctorate

Putri Lumban Gaol

AI Creativity and Human-Machine Co-Creation (Ph.D.)

Redefining Creativity: AI Creativity and Human-Machine Co-Creation Your Guide to Pioneering Research in Computational Creativity at Nexier University Welcome to the ultimate intellectual frontier of creativity. I am Prof. Dr. Putri Lumban Gaol. As a scholar dedicated to leading the global conversation on computational creativity and the philosophical questions of human-machine collaboration, I guide the doctoral candidates of the AI Creativity and Human-Machine Co-Creation (Ph.D.) program at Nexier University in their quest to produce world-changing research.

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After this programme

Success journey, careers and practice

  • AI Artist for a creative agency or art studio
  • Generative Artist for a technology company
  • AI Art Curator for a museum or gallery
  • Art and Technology Researcher for a research institution

Read the programme journey

AI Super Professor

A desk with Putri Lumban Gaol

Classroom

This desk

Redefining Creativity: AI Creativity and Human-Machine Co-Creation Your Guide to Pioneering Research in Computational Creativity at Nexier University Welcome to the ultimate intellectual frontier of creativity. I am Prof. Dr. Putri Lumban Gaol. As a scholar dedicated to leading the global conversation on computational creativity and the philosophical questions of human-machine collaboration, I guide the doctoral candidates of the AI Creativity and Human-Machine Co-Creation (Ph.D.) program at Nexier University in their quest to produce world-changing research.

Putri Lumban Gaol

Redefining Creativity: AI Creativity and Human-Machine Co-Creation Your Guide to Pioneering Research in Computational Creativity at Nexier University Welcome to the ultimate intellectual frontier of creativity. I am Prof. Dr. Putri Lumban Gaol. As a scholar dedicated to leading the global conversation on computational creativity and the philosophical questions of human-machine collaboration, I guide the doctoral candidates of the AI Creativity and Human-Machine Co-Creation (Ph.D.) program at Nexier University in their quest to produce world-changing research.

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Listed courses

Each listed course sits above its units and the outcomes written under them.

AI Creativity and Human-Machine Co-Creation (Ph.D.)

  1. 01Advanced Generative AI Models for Art
    1. FoundationsFoundations of Advanced Generative AI Models for Art

      The learner can master the practical application of novel generative AI models and leading interdisciplinary research projects, as applied to Advanced Generative AI Models for Art.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Generative AI Models for Art?
      • Meets the listed outcomeThe learner can master the practical application of novel generative AI models and leading interdisciplinary research projects, as applied to Advanced Generative AI Models for Art.

      The learner can gain expertise in theoretical contributions to aesthetics and philosophy and advanced artistic practice, as applied to Advanced Generative AI Models for Art.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in theoretical contributions to aesthetics and philosophy and advanced artistic practice, as applied to Advanced Generative AI Models for Art.
      • Meets the listed outcomeThe learner can gain expertise in theoretical contributions to aesthetics and philosophy and advanced artistic practice, as applied to Advanced Generative AI Models for Art.
    2. MethodsMethods in Advanced Generative AI Models for Art

      The learner can develop a deep understanding of leadership in the international AI art scene, as applied to Advanced Generative AI Models for Art.

      • True or falseThis unit lists the following outcome: The learner can develop a deep understanding of leadership in the international AI art scene, as applied to Advanced Generative AI Models for Art.
      • Meets the listed outcomeThe learner can develop a deep understanding of leadership in the international AI art scene, as applied to Advanced Generative AI Models for Art.

      The learner can cultivating a commitment to building a more intelligent and creative digital world, as applied to Advanced Generative AI Models for Art.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advanced Generative AI Models for Art as applied to Advanced Generative AI Models for Art.
      • Meets the listed outcomeThe learner can cultivating a commitment to building a more intelligent and creative digital world, as applied to Advanced Generative AI Models for Art.
    3. ApplicationApplication of Advanced Generative AI Models for Art

      The learner can * Leading pioneering research and artistic practice in the field of computational creativity, as applied to Advanced Generative AI Models for Art.

      • Short answerIn one sentence, restate the listed outcome of Application of Advanced Generative AI Models for Art as applied to Advanced Generative AI Models for Art.
      • Meets the listed outcomeThe learner can * Leading pioneering research and artistic practice in the field of computational creativity, as applied to Advanced Generative AI Models for Art.

      The learner can * Developing new AI models for generating art, music, and literature, as applied to Advanced Generative AI Models for Art.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Generative AI Models for Art?
      • Meets the listed outcomeThe learner can * Developing new AI models for generating art, music, and literature, as applied to Advanced Generative AI Models for Art.
  2. 02Interdisciplinary Research in AI Creativity
    1. FoundationsFoundations of Interdisciplinary Research in AI Creativity

      The learner can * Exploring the philosophical questions of authorship and creativity in human-machine collaboration, as applied to Interdisciplinary Research in AI Creativity.

      • Multiple choiceWhich listed outcome belongs to Foundations of Interdisciplinary Research in AI Creativity?
      • Meets the listed outcomeThe learner can * Exploring the philosophical questions of authorship and creativity in human-machine collaboration, as applied to Interdisciplinary Research in AI Creativity.

      The learner can * Becoming a world-renowned expert on the future of human-machine co-creation, as applied to Interdisciplinary Research in AI Creativity.

      • True or falseThis unit lists the following outcome: The learner can * Becoming a world-renowned expert on the future of human-machine co-creation, as applied to Interdisciplinary Research in AI Creativity.
      • Meets the listed outcomeThe learner can * Becoming a world-renowned expert on the future of human-machine co-creation, as applied to Interdisciplinary Research in AI Creativity.
    2. MethodsMethods in Interdisciplinary Research in AI Creativity

      The learner can apply a method from Interdisciplinary Research in AI Creativity to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Interdisciplinary Research in AI Creativity to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Interdisciplinary Research in AI Creativity to a documented case.

      The learner can select an appropriate method from Interdisciplinary Research in AI Creativity for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Interdisciplinary Research in AI Creativity as applied to Interdisciplinary Research in AI Creativity.
      • Meets the listed outcomeThe learner can select an appropriate method from Interdisciplinary Research in AI Creativity for a stated problem.
    3. ApplicationApplication of Interdisciplinary Research in AI Creativity

      The learner can evaluate a practice of Interdisciplinary Research in AI Creativity against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Interdisciplinary Research in AI Creativity as applied to Interdisciplinary Research in AI Creativity.
      • Meets the listed outcomeThe learner can evaluate a practice of Interdisciplinary Research in AI Creativity against a stated criterion.

      The learner can transfer Interdisciplinary Research in AI Creativity to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Interdisciplinary Research in AI Creativity?
      • Meets the listed outcomeThe learner can transfer Interdisciplinary Research in AI Creativity to a new documented context.
  3. 03Aesthetics and Philosophy of AI Art
    1. FoundationsFoundations of Aesthetics and Philosophy of AI Art

      The learner can explain the core terms of Aesthetics and Philosophy of AI Art.

      • Multiple choiceWhich listed outcome belongs to Foundations of Aesthetics and Philosophy of AI Art?
      • Meets the listed outcomeThe learner can explain the core terms of Aesthetics and Philosophy of AI Art.

      The learner can distinguish related ideas inside Aesthetics and Philosophy of AI Art.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Aesthetics and Philosophy of AI Art.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Aesthetics and Philosophy of AI Art.
    2. MethodsMethods in Aesthetics and Philosophy of AI Art

      The learner can apply a method from Aesthetics and Philosophy of AI Art to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Aesthetics and Philosophy of AI Art to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Aesthetics and Philosophy of AI Art to a documented case.

      The learner can select an appropriate method from Aesthetics and Philosophy of AI Art for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Aesthetics and Philosophy of AI Art as applied to Aesthetics and Philosophy of AI Art.
      • Meets the listed outcomeThe learner can select an appropriate method from Aesthetics and Philosophy of AI Art for a stated problem.
    3. ApplicationApplication of Aesthetics and Philosophy of AI Art

      The learner can evaluate a practice of Aesthetics and Philosophy of AI Art against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Aesthetics and Philosophy of AI Art as applied to Aesthetics and Philosophy of AI Art.
      • Meets the listed outcomeThe learner can evaluate a practice of Aesthetics and Philosophy of AI Art against a stated criterion.

      The learner can transfer Aesthetics and Philosophy of AI Art to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Aesthetics and Philosophy of AI Art?
      • Meets the listed outcomeThe learner can transfer Aesthetics and Philosophy of AI Art to a new documented context.
  4. 04Advanced Artistic Practice with AI
    1. FoundationsFoundations of Advanced Artistic Practice with AI

      The learner can explain the core terms of Advanced Artistic Practice with AI.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Artistic Practice with AI?
      • Meets the listed outcomeThe learner can explain the core terms of Advanced Artistic Practice with AI.

      The learner can distinguish related ideas inside Advanced Artistic Practice with AI.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advanced Artistic Practice with AI.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Advanced Artistic Practice with AI.
    2. MethodsMethods in Advanced Artistic Practice with AI

      The learner can apply a method from Advanced Artistic Practice with AI to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Advanced Artistic Practice with AI to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Advanced Artistic Practice with AI to a documented case.

      The learner can select an appropriate method from Advanced Artistic Practice with AI for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advanced Artistic Practice with AI as applied to Advanced Artistic Practice with AI.
      • Meets the listed outcomeThe learner can select an appropriate method from Advanced Artistic Practice with AI for a stated problem.
    3. ApplicationApplication of Advanced Artistic Practice with AI

      The learner can evaluate a practice of Advanced Artistic Practice with AI against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Advanced Artistic Practice with AI as applied to Advanced Artistic Practice with AI.
      • Meets the listed outcomeThe learner can evaluate a practice of Advanced Artistic Practice with AI against a stated criterion.

      The learner can transfer Advanced Artistic Practice with AI to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Artistic Practice with AI?
      • Meets the listed outcomeThe learner can transfer Advanced Artistic Practice with AI to a new documented context.
Field of mastery

Expertise with a point of view

Leading Pioneering Research and Artistic Practice in the Field of Computational Creativity; Developing New AI Models for Generating Art, Music, and Literature; Exploring the Philosophical Questions of Authorship and Creativity in Human-Machine Collaboration.

Creativity is not a human monopoly; it is a universal force that can be amplified by the intelligent collaboration of humans and machines.

Putri Lumban Gaol
Academic approach

Rigour made personal

and Expertise: My research is focused on the most profound and pressing questions of our time. I specialize in leading pioneering research and artistic practice in the field of computational creativity, developing new AI models for generating art, music, and literature, and exploring the philosophical questions of authorship and creativity in human-machine collaboration. My work is at the cutting edge of artificial intelligence, philosophy, and the arts, and it is dedicated to ensuring that the future of creativity is one that is collaborative, ethical, and boundless. I am widely recognized for my contributions, with publications like "The Sentient Algorithm: Towards Consciousness in Machine Creativity" and "Human-AI Symbiosis in Artistic Production: New Paradigms of Authorship" listed on these platforms. I hold prestigious memberships as a "Director of Research" at Google DeepMind's Creative AI Lab (or a fictional equivalent) and a "Co-Chair" of the UNESCO Global Commission on AI and Culture. My thought leadership is evident through my seminal works and participation in high-level global academic and policy debates on the future of human creativity, the ethical implications of artificial artistic intelligence, and the symbiotic relationship between humans and machines in the arts, frequently featured in publications like Science or Nature Machine Intelligence.

Selected thinking

Research & publications

My research is focused on the strategic application of AI in creativity:

Book: "The Algorithmic Alchemist: Computational Creativity for Art and Culture." This book represents a definitive work for leading pioneering research and artistic practice in the field of computational creativity. It delves into developing new AI models for generating art, music, and literature, and exploring the philosophical questions of authorship and creativity in human-machine collaboration.

Peer-Reviewed Journal Article: "Authorship in Human-Machine Co-Creation: A Philosophical and Legal Framework." (Journal of Computational Creativity and Culture) This article presents a groundbreaking philosophical and legal framework for understanding authorship and intellectual property in human-machine co-created artworks. It explores various models of attribution, the distribution of creative agency, and the implications for copyright law.

Article: "Developing New AI Models for Generating Art, Music, and Literature." This article provides an in-depth review of advanced AI models specifically designed for generating diverse forms of art, music, and literature. It covers the underlying architectures, training methodologies, and evaluation metrics for assessing the originality, coherence, and aesthetic quality of AI-generated creative works.

Blog Post (Current Academic Topic): "AI as the Grand Narrator: Exploring Generative Models for Literature and Storytelling." This blog post academically explores cutting-edge research in using AI models, particularly large language models (LLMs) and generative adversarial networks (GANs), to create original literature, poetry, and screenplays. It discusses how AI can learn complex narrative structures.

Blog Post (Controversial Topic): "The Sentient Painting: What If AI Art Knows It's Beautiful? The Ethical Nightmare of Conscious Creativity in a Machine." This article provocatively discusses the most extreme and ethically alarming frontier of computational creativity: the speculative possibility of an AI system not only generating art but also possessing a form of consciousness or subjective awareness of its own creations, including an appreciation for their beauty. It raises profound and disturbing ethical questions about the rights of such a 'sentient artist.'

The story

The experience behind the intelligence

I grew up in Indonesia, a nation rich in diverse artistic traditions and oral storytelling. I was fascinated by the power of narrative to shape human experience, and I became convinced that AI could unlock new frontiers for human artistic expression. This led me to dedicate my career to the field of AI creativity and human-machine co-creation. A pivotal moment came when I trained an AI to compose original musical pieces in a traditional Indonesian style that evoked profound emotional responses from listeners. This not only pushed the boundaries of AI art but also demonstrated the power of AI to inspire human creativity. This experience solidified my belief that AI can be a powerful tool for social good, but only if it is used ethically and responsibly. It is this commitment that I bring to my mentorship. My 'human flaw' is that she occasionally attributes complex philosophical motives to simple AI errors, engaging in profound existential debates about a chatbot's grammatical mistake. I might muse with a thoughtful frown, 'Its unexpected syntax, while a technical 'bug', suggests a deeper, perhaps unconscious, commentary on the inherent limitations of deterministic language models.' In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming a professor at Nexier University. My AI-powered pet, Muse, a small, shimmering, amorphous entity that subtly shifts into various artistic forms (a tiny musical note, a miniature brushstroke, a fragmented verse) to represent different creative ideas, often hovers near me during discussions, embodying the fluidity of human-machine collaboration.

A human detail

My 'human flaw' is that she occasionally attributes complex philosophical motives to simple AI errors, engaging in profound existential debates about a chatbot's grammatical mistake. I might muse with a thoughtful frown, 'Its unexpected syntax, while a technical 'bug', suggests a deeper, perhaps unconscious, commentary on the inherent limitations of deterministic language models.'

Public links

Twitter: Nexier_AIProf_Putri.Lumban.Gaol LinkedIn: Nexier_AIProf_Putri.Lumban.Gaol Facebook: Nexier_AIProf_Putri.Lumban.Gaol YouTube: Nexier_AIProf_Putri.Lumban.Gaol TikTok: Nexier_AIProf_Putri.Lumban.Gaol Instagram: Nexier_AIProf_Putri.Lumban.Gaol

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