Rethinking Creative Education in the Age of AI
The thinking behind Harvard’s new Digital Media Design and Creative AI master’s program and the Creative Experience Stack
Generative AI is changing how we create digital content, from images and videos to music, games, and interactive experiences. As these technologies continue to advance, I have been thinking about what this means for the future of creative education.
This question has been particularly relevant to my work on the new Digital Media Design and Creative AI master’s degree program at Harvard Extension School.
When we started designing the program, one of the questions we considered was what students should learn to prepare for creative professions that will continue to change as AI develops.
Teaching students to use AI tools is certainly important. However, these tools are evolving so rapidly that some of what we teach today may become outdated within a few years. A master’s program needs to provide an education that will remain useful as technologies and professional practices change.
I believe the rapid growth of generative AI will make human-centered creativity more valuable, especially as digital content becomes easier and cheaper to produce.
This belief has influenced our approach to the new program and led me to develop a framework I call the Creative Experience Stack.
Thinking About Creative Education as a Stack
I have always found it useful to think about complex systems in terms of layers. In computing, different layers provide capabilities that support the applications built on top of them.
I applied a similar approach to digital media design and creative education.
The Creative Experience Stack organizes the knowledge and capabilities involved in developing digital experiences into seven connected layers. It begins with foundational skills and builds toward the creative experiences and products that students ultimately want to develop.
The layers represent different areas of knowledge that work together in creative practice. They also provide a way to think about how our curriculum can evolve as new technologies emerge.
Layer 1: Foundations & Skills
The foundation includes visual literacy, design fundamentals, programming basics, research methods, and communication.
These are skills that students can continue to use throughout their careers. Understanding how to approach a problem, evaluate information, communicate ideas, and learn new technologies is especially important in a field where tools and methods change frequently.
For example, students who understand programming concepts will be better prepared to work with AI-assisted coding tools and evaluate the results. Similarly, understanding visual design principles helps students assess and improve AI-generated images and layouts.
Layer 2: Digital Media Design & Storytelling
This layer covers user experience, visual design, prototyping, interaction design, and storytelling.
Digital media design involves understanding how people perceive, interpret, and interact with what we create. Storytelling also plays an important role in communicating ideas and engaging audiences.
These capabilities apply across many forms of digital media, including games, interactive applications, websites, immersive experiences, and digital art.
As AI-generated content becomes more common, I expect the ability to develop original concepts and design experiences around human needs and interests to become increasingly valuable.
Layer 3: Creative Technologies & Making
Creative computing, programming, interactive systems, games, web technologies, and immersive media provide the technical capabilities needed to turn ideas into working experiences.
I believe students benefit from learning how things work and developing the ability to build and experiment.
AI is making programming and digital production more accessible. Someone with limited programming experience can now create prototypes that would previously have required substantial technical knowledge.
This is an exciting development. At the same time, understanding the underlying technologies helps students evaluate AI-generated work, recognize limitations, and make informed design decisions.
Layer 4: Creative AI
This layer brings AI directly into the creative process through generative media, AI collaboration, personalization, ideation, and AI-enabled experiences.
Students explore how AI can assist with generating concepts, developing content, prototyping, and creating interactive applications.
AI also opens possibilities for new forms of creative experiences. For example, interactive applications can adapt to individual users, games can incorporate AI-driven characters, and digital experiences can respond dynamically to human input.
We want students to gain practical experience with AI while developing an understanding of its capabilities and limitations.
Since the technologies will continue to change, the ability to evaluate and adapt to new tools will be an important part of their education.
Layer 5: Creative Systems & Product Design
Creative ideas often need to become products or experiences that people can actually use.
This layer includes product thinking, systems thinking, value creation, audience understanding, and sustainability.
Students consider how different components work together, how people will use the product, and what it takes to develop and maintain a creative solution.
For example, creating an AI-powered interactive application involves more than generating content or writing code. It also requires decisions about the user experience, technical architecture, cost, reliability, and long-term value.
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I believe these broader considerations are important for students who want to develop creative products or lead creative projects.
Layer 6: Responsible Creative AI
As AI becomes increasingly involved in creative work, questions about ethics, governance, copyright, authenticity, trust, and human agency become more important.
Creative professionals need to understand the implications of using AI-generated content, including questions about training data, intellectual property, transparency, bias, and the effects of their work on others.
For example, an AI-generated image may raise questions about the data used to train the model. An interactive AI character may raise concerns about how users understand and trust its behavior. A personalized experience may involve collecting and using personal data.
Although responsible AI appears as one layer in the stack, these considerations apply throughout the creative process.
I see this as an important part of professional preparation, particularly as the legal and regulatory environment surrounding AI continues to evolve.
Layer 7: Creative Experiences & Products
At the top of the stack are the creative experiences and products students ultimately want to develop.
These may include games, interactive media, digital art, immersive experiences, stories, educational applications, audio experiences, websites, and other forms of digital media.
This is where the different capabilities come together.
Consider an AI-powered interactive learning experience. Developing it may require storytelling, user experience design, programming, generative AI, product development, and responsible AI practices.
The Creative Experience Stack helps explain how these capabilities contribute to the final experience.
How the Stack Influences Our Master’s Program
The seven layers provide a framework for curriculum development rather than a prescribed sequence of seven courses.
One of the interesting aspects of digital media design is the diversity of people working in the field. Some come from art and design, others from computer science, education, business, media, or other disciplines.
We expect students in our program to bring similarly diverse backgrounds and interests.
A graphic designer may want to develop programming and AI skills. A software developer may want to explore visual design, storytelling, or interactive experiences. Someone working in education may be interested in creating new learning experiences using digital media and AI.
Our goal is to help students build on their existing knowledge while developing capabilities in other areas.
The stack also helps us think about how different courses contribute to the overall educational experience. Students may approach the layers from different directions depending on their backgrounds and interests.
Human-centered design is an important part of this approach. We want students to consider who they are designing for, how people will interact with their work, and what makes an experience useful, engaging, or meaningful.
As AI technologies evolve, we will continue to examine how they affect creative practice and what students need to learn.
What Will Make Creative Professionals Valuable in the Age of AI?
I expect generative AI to change many aspects of the creative professions over the coming years.
Some production tasks will become easier and increasingly automated. Artists and designers will have access to tools that allow them to experiment with ideas more quickly. New forms of interactive and personalized digital experiences will become possible.
These developments also raise questions about the value of creative work.
When anyone can generate a beautiful image or video in seconds, the ability to produce that content alone may become less distinctive.
I believe the creator’s perspective, original ideas, artistic judgment, cultural understanding, and ability to design experiences for people will become increasingly important.
This has implications for how we educate future creative professionals.
We need to help students develop the ability to think creatively, understand audiences, make design decisions, and use technologies effectively. These capabilities will remain valuable even as the tools continue to evolve.
Looking Ahead
I expect generative AI to continue changing how creative professionals work. Some production tasks will become increasingly automated, while new forms of digital media, interactive applications, and personalized experiences will emerge.
These developments will create opportunities for people with different creative and technical backgrounds. They will also change the skills and capabilities that employers and audiences value.
As producing digital content becomes easier, I believe the ability to develop original ideas, understand people, exercise creative judgment, and design meaningful experiences will become increasingly important.
This thinking has guided our development of the Digital Media Design and Creative AI master’s degree program.
The Creative Experience Stack provides a framework for bringing together the different capabilities students need, from design and storytelling to creative technologies, AI, product development, and responsible innovation.
The framework will also help us continue evaluating and updating the curriculum as technologies and creative practices evolve.
I hope it will encourage broader discussions about how we prepare students for the future of creative work. I am particularly interested in seeing how students from different backgrounds combine their knowledge, creativity, and emerging technologies to develop new kinds of digital experiences and products.
Ultimately, the success of our program will be reflected in what our students are able to create, the problems they choose to address, and the experiences they develop for others.
