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AI Copyright Controversies Through a Humanistic Lens
In 2023, the U.S. Copyright Office ruled that AI-generated images are not eligible for copyright protection. Yet courts have also recognized copyright for human authors who used AI as a creative tool. That same year, the European Parliament passed the world's first comprehensive AI regulation law, requiring transparent disclosure of AI-generated content. These controversies naturally raise a question: What exactly is creativity? This is not merely a legal matter β it is a profound humanistic inquiry. Let us think together about how to understand these controversies as educators and how to teach them to students.
Table of Contents
- The Current Legal Landscape of AI Copyright
- The Philosophical Definition of Creativity: Expression vs. Idea
- The Crisis of Authorship
- Academic Integrity in Educational Settings
- How to Teach This to Students
The Current Legal Landscape of AI Copyright
The Situation in South Korea
Article 2 of South Korea's Copyright Act defines a copyrighted work as "a creative work expressing human thought or emotion." The word "human" is key. Under current law, content autonomously generated by AI is not eligible for copyright protection. However, when a human carefully designs a prompt and selects and edits the output, interpretations diverge.
Trends in U.S. and European Rulings
The U.S. Copyright Office does not grant copyright to images that are purely AI-generated. However, there is room to recognize copyright when a human uses AI as a tool while exercising substantial creative judgment. The EU AI Act has mandated the disclosure of AI-generated content β prioritizing transparency over the legal status of the output itself.
What the Law Has Not Yet Answered
Law always follows technology. AI copyright is an ongoing struggle in courts and legislatures around the world. Before the law settles, we need to ask more fundamental questions first.
The Philosophical Definition of Creativity: Expression vs. Idea
The Idea-Expression Dichotomy
A longstanding principle of copyright law is that ideas are not protected, only their expression is. "Two people in love meet for the first time on a rainy day" is an idea anyone can use. But a specific linguistic realization of that idea is protected.
AI challenges this dichotomy. AI learns patterns from millions of texts and generates new expressions. Is that an idea or an expression? Or is it a statistical recombination of existing expressions?
Kant's Concept of Creativity
Kant viewed creativity as not following rules but making new ones. True artistic genius, he argued, gives art its rules through nature. By this standard, AI is not a creator. AI extracts patterns from the rules of existing data; it does not create new rules.
Barthes's 'Death of the Author'
Yet Roland Barthes argued something completely different in his 1967 essay "The Death of the Author." The meaning of a text, he claimed, arises not from the author's intention but from the reader's interpretation. From this perspective, an AI-generated text also becomes a text the moment a reader finds meaning in it β whether the author is human or AI becomes a secondary matter.
The Crisis of Authorship
Who Is the Author?
AI-generated works have multiple contributors: the millions of original creators whose work formed the training data, the engineers who developed the AI, the user who designed the prompt, and the person who edited and distributed the output. Which of them is the "author"?
Traditionally, an author was an individual who chose an expression with intention. In the age of AI, the concept of authorship is shifting toward something collective and distributed.
The Problem of Exploiting Original Creators
AI image generation models trained on billions of images scraped from the internet without consent. The artists who created those images did not agree to this. When AI imitates those artists' styles to produce competing work, this is not just a copyright issue β it is a threat to livelihoods. Class action lawsuits by artists, photographers, and musicians are ongoing around the world.
Is the Meaning of Creativity Changing?
Some philosophers see this as the democratization of creativity. In the past, painting required years of training. Now anyone with an idea can produce high-quality visual expression. The barriers to creation have been lowered. But whether this democratization represents a flowering of creativity or a devaluation of creative labor remains actively contested.
Academic Integrity in Educational Settings
AI Writing and Academic Honesty
If a student submits an AI-generated essay, is it cheating? Many schools are wrestling with this question. More pressing than legal copyright is the issue of educational integrity.
Academic integrity rests on the trust that a student reached understanding through their own thinking process. When AI writes on the student's behalf, that process is bypassed. Assessment can no longer measure the student's actual understanding.
The Difference Between AI Assistance and AI Replacement
The core distinction educators must make is between AI assistance and AI replacement.
- AI assistance: The student writes a draft and revises it themselves based on AI feedback
- AI replacement: AI generates the entire content and the student submits it as-is
The former is a learning process that builds writing ability. The latter circumvents learning.
Attribution and Transparency
Many academic institutions have begun requiring attribution when AI is used. Major citation styles β APA, MLA β have already added guidelines for citing AI-generated content. Rather than prohibiting AI use, the realistic approach is to teach students how to use it transparently and cite it honestly.
How to Teach This to Students
Redefining Copyright
Beyond legal copyright, what students need to learn is the meaning and value of creativity:
- Why do we protect creators?
- Why is creative activity important to society?
- How does technology change the meaning of creativity?
These questions can be addressed not just in law class but in language arts, art, music, and ethics classes as well.
Practical Media Literacy
Practical skills to teach students:
- How to identify AI-generated content (metadata, generation tool detection)
- How to properly attribute AI use
- The habit of distinguishing between their own creative process and AI's contribution
- The attitude of respecting original creators and citing sources
Designing Critical Discussion Classes
These topics are excellent starting points for student debate:
"Is it fair for AI to learn a famous painter's style and create works that compete with that painter?"
"If a student submits an essay written by AI, what is the problem? Is there any problem at all?"
Through these questions β which have no definitive answers β students learn to think for themselves about creativity, fairness, and honesty.
The AI copyright controversy may look like a legal matter, but embedded within it are ancient humanistic questions: What is creativity? Where does the value of labor come from? Why should we be honest? Teachers who engage seriously with these questions first can raise students who think for themselves when confronted with technology.
How is your school or classroom handling student use of AI? Share in the comments what standards you have set around AI-generated work and academic integrity.
Further Reading