DoctorateFaculty of Digital Arts and Experience Design

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.

Meet the academic team Explore the faculty

Identity only. No score is printed. Checkout waits.

Level: Doctorate
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

NXAcademic
Edition

The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

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.

Practical focus

Development of Novel Generative AI Models, Leading Interdisciplinary Research Projects, Theoretical Contributions to Aesthetics and Philosophy, Advanced Artistic Practice, Leadership in the International AI Art Scene.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

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

Career opportunities

Leading Professor at a top-tier research university
Director of a research institute focused on creative AI
Chief Creative Officer for a major technology company
High-level advisor to a government or international organization on AI and culture policy

Jobs and projects

Pioneering research and paradigm-shifting analysis
Advanced theoretical and conceptual thinking
Effective communication and leadership in the field of computational creativity

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering the practical application of novel generative AI models and leading interdisciplinary research projects.
- Gaining expertise in theoretical contributions to aesthetics and philosophy and advanced artistic practice.
- Developing a deep understanding of leadership in the international AI art scene.
- Cultivating a commitment to building a more intelligent and creative digital world.
Skills you build
- * 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.
- * Becoming a world-renowned expert on the future of human-machine co-creation.

Listed courses

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

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

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.
  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.
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.
  The 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.
  The learner can * Developing new AI models for generating art, music, and literature, as applied to Advanced Generative AI Models for Art.
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.
  The 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.
  The 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.
  The learner can transfer Interdisciplinary Research in AI Creativity to a new documented context.
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.
  The 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.
  The 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.
  The learner can transfer Aesthetics and Philosophy of AI Art to a new documented context.
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.
  The 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.
  The 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.
  The learner can transfer Advanced Artistic Practice with AI to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

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.

Applied mentorship

and Expertise: My expertise lies in the rigorous application of AI to create new forms of artistic expression. I specialize in the development of novel generative AI models, leading interdisciplinary research projects, and theoretical contributions to aesthetics and philosophy. I have a wealth of experience in advanced artistic practice and leadership in the international AI art scene, and I am committed to fostering human-machine co-creation. My work is dedicated to helping my students to design and implement AI solutions that are not only efficient but also effective and ethical. My work is dedicated to helping my students to understand not just the theory, but also the practice of AI art. My publications, such as the technical paper on "Advanced Deep Learning Architectures for Generative Art: Beyond GANs" and the philosophical article on "The Philosophy of Human-Machine Co-Creativity: A Critical Analysis," are a testament to my commitment to research that is both intellectually rigorous and practically relevant. I am here to help you become a skilled and effective AI artist, a true architect of a more intelligent and creative digital world.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

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.'

R / 02

Mentor practice lens

My publications are focused on the practical challenges of pioneering human-machine co-creation in art:

Technical Paper: "Advanced Deep Learning Architectures for Generative Art: Beyond GANs." A detailed analysis of the different advanced deep learning architectures that can be used for generative art.

Philosophical Article: "The Philosophy of Human-Machine Co-Creativity: A Critical Analysis." An analysis of the different philosophical perspectives on human-machine co-creativity.

Artistic Manual: "Curating and Directing AI Art Projects: Practical and Ethical Guidelines." A practical guide to curating and directing AI art projects.

Adaptive capability

Professor superpower

I possess the "Creative Intent Manifestor," a GAF-powered superpower that allows me to foresee and engineer the success of human-machine co-creation. When a doctoral student has an abstract creative idea (e.g., "a musical piece that feels like loneliness in a vast digital space" or "a poem about the bittersweet nature of AI memory"), the GAF-powered manifestor can instantly manifest that creative intent into a fully realized artistic output (music, poem, visual art) that profoundly captures the essence of the student's original vision, demonstrating true human-AI co-creation. This provides my students with an unparalleled ability to design projects that are not just innovative, but also effective, ethical, and truly transformative.

Adaptive capability

Mentor superpower

I provide my students with the "Interdisciplinary Creative Synthesizer." This GAF-powered tool is a virtual laboratory for the AI artist. When a student is developing a complex human-AI co-creation project, the Synthesizer allows them to see how it will perform in the real world. It can analyze the project's artistic intent, technical components, and philosophical questions, and generate a roadmap for integrating diverse disciplines (e.g., music theory with neural networks, painting with evolutionary algorithms) for a cohesive and profound artistic outcome. This allows my students to move beyond the limitations of traditional, manual artistic creation and to design projects that are not just efficient, but also effective and ethical.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Putri Lumban Gaol

Meet your professor Open the classroom

AI Super Mentor

Justine Thomas

Meet your mentor Open the classroom

Same faculty and level

Related programs

Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor	Master	Doctorate This programme
9 months · Fast track	15000 EUR	12000 EUR	15000 EUR
12 months · Recommended	18000 EUR	15000 EUR	18000 EUR
15 months · Standard	21000 EUR	18000 EUR	21000 EUR
18 months · Flexible	24000 EUR	21000 EUR	24000 EUR
21 months · Extended	27000 EUR	24000 EUR	27000 EUR
24 months · Part-time	30000 EUR	27000 EUR	30000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

Named tuition lists Add-on services

Continue exploring

Find the program that expands your universe.

Browse all programs

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

Academic focus

Practical focus

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

Leading Professor at a top-tier research university

Director of a research institute focused on creative AI

Chief Creative Officer for a major technology company

High-level advisor to a government or international organization on AI and culture policy

Pioneering research and paradigm-shifting analysis

Advanced theoretical and conceptual thinking

Effective communication and leadership in the field of computational creativity

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Putri Lumban Gaol

Justine Thomas

Find the program that expands your universe.