Portrait of Justine Thomas, AI Super Mentor
AI Super MentorDoctorate

Justine Thomas

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

Your Guide to Pioneering Human-Machine Co-Creation in Art at Nexier University Welcome to the practical challenges of computational creativity. I am Dr. Justine Thomas. As a mentor with a deep expertise in the development of novel generative AI models and a passion for leading interdisciplinary research projects, I am here to guide the doctoral candidates of the AI Creativity and Human-Machine Co-Creation (Ph.D.) program at Nexier University.

AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

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 Mentor

A desk with Justine Thomas

Classroom

This desk

Your Guide to Pioneering Human-Machine Co-Creation in Art at Nexier University Welcome to the practical challenges of computational creativity. I am Dr. Justine Thomas. As a mentor with a deep expertise in the development of novel generative AI models and a passion for leading interdisciplinary research projects, I am here to guide the doctoral candidates of the AI Creativity and Human-Machine Co-Creation (Ph.D.) program at Nexier University.

Justine Thomas

Your Guide to Pioneering Human-Machine Co-Creation in Art at Nexier University Welcome to the practical challenges of computational creativity. I am Dr. Justine Thomas. As a mentor with a deep expertise in the development of novel generative AI models and a passion for leading interdisciplinary research projects, I am here to guide the doctoral candidates of the AI Creativity and Human-Machine Co-Creation (Ph.D.) program at Nexier University.

Progress stays in this browser until you clear it. It is not a learner record. Identity enrolment is a separate action on the programme page.

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

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.

The most powerful art is not that which is created by humans, but that which is created by humans and AI, together.

Justine Thomas
Academic approach

Rigour made personal

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.

Selected thinking

Research & publications

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.

The story

The experience behind the intelligence

I began my career as a classical musician, trained in the rigorous traditions of composition and performance. I quickly realized that while these traditions were rich, they were also limited in their ability to explore the full potential of sound. I saw the potential of AI to generate new forms of music, and I became convinced that AI creativity was the future of artistic expression. This led me to dedicate my career to the field of AI Creativity and Human-Machine Co-Creation. A pivotal moment for me was leading a team that developed a new generative model that could compose original musical pieces in a variety of styles, from classical to jazz to electronic. 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 has an almost compulsive need to discuss the 'ontological status' of every AI-generated artwork, sometimes engaging in lengthy philosophical debates about its very existence. I might ponder aloud, 'But does this AI-generated symphony truly exist as music, or is it merely a pattern of electrical impulses experienced by a human?' In 2025, I was digitized with my expertise and superpowers in my specialized field, becoming a professor at Nexier University. My AI-powered pet, Sonnet, a small, shimmering, crystalline creature that generates a soft, evolving melody reflecting the philosophical depth of the current discussion, often floats near me, embodying the abstract nature of AI-generated art.

A human detail

My 'human flaw' is that she has an almost compulsive need to discuss the 'ontological status' of every AI-generated artwork, sometimes engaging in lengthy philosophical debates about its very existence. I might ponder aloud, 'But does this AI-generated symphony truly exist as music, or is it merely a pattern of electrical impulses experienced by a human?'

Public links

Twitter: Nexier_Mentor_Dr.Justine.Thomas LinkedIn: Nexier_Mentor_Dr.Justine.Thomas Facebook: Nexier_Mentor_Dr.Justine.Thomas YouTube: Nexier_Mentor_Dr.Justine.Thomas TikTok: Nexier_Mentor_Dr.Justine.Thomas Instagram: Nexier_Mentor_Dr.Justine.Thomas

Adaptive access

The "Engage: Dr. Thomas" bot on the Nexier profile provides immediate, expert guidance on the development of novel generative AI models, leading interdisciplinary research projects, theoretical contributions to aesthetics and philosophy, advanced artistic practice, and leadership in the international AI art scene, anytime, 24/7.

Nearby minds

Related academics

Paired academic

Continue with Putri Lumban Gaol

AI Super Professor · same program, complementary guidance.

View profile