The dawn of the Generative AI era has brought not only a technical revolution but also an unprecedented identity crisis in intellectual property (IP) law. As tools like Midjourney, Stable Diffusion, and ChatGPT produce works that often surpass human creation in aesthetic quality, a persistent question remains: Who owns the copyright of a work generated by an algorithm? A recent analysis from Vietnam.vn brings this issue back to the forefront, highlighting the discrepancies between international jurisdictions and the urgent need for a new global social contract for art.
The Doctrine of 'Human Authorship'
At the heart of the current legal debate lies the principle of 'human authorship.' For over a century, IP systems worldwide have been built on the premise that copyright serves as an incentive for human creativity. In the United States, the U.S. Copyright Office (USCO) has repeatedly rejected applications for works created solely by AI, citing a lack of 'human intellectual labor.' The case of Stephen Thaler and his 'Creativity Machine' was a landmark, with courts affirming that a machine cannot be considered an 'author' under current statutes.
However, the situation becomes murky when examining hybrid creations. How much human intervention is required for a work to be deemed protectable? If an artist uses hundreds of prompts, refines the output in Photoshop, and composes a new narrative, the work gains a 'human fingerprint.' The ruling on the graphic novel 'Zarya of the Dawn' demonstrated that while individual AI-generated images are not protected, the human's selection, coordination, and arrangement of those images can be.
The Asian Perspective and the Case of Vietnam
In contrast to Western stringency, some jurisdictions in Asia appear more open to experimentation. In China, a recent decision by the Beijing Internet Court recognized copyright in an AI-generated image (the Li v. Liu case), ruling that the user exerted significant intellectual effort through prompts and parameter adjustments. This decision sets a precedent that could influence neighboring countries like Vietnam, which is striving to balance creator protection with the ambition to become a hub for technological innovation.
- The necessity for transparency in training data sources.
- The risk of 'flooding' the market with copyright-free content.
- Pressure from Big Tech for a more flexible interpretation of the law.
Economic and Social Implications
If AI works remain in the public domain, the economic consequences for the entertainment and advertising industries will be staggering. Companies may hesitate to invest in content that they cannot legally monopolize. Conversely, traditional artists fear that legitimizing AI copyrights will lead to their complete replacement by cheaper, algorithmic alternatives that 'theft' their style without compensation.
"Intellectual property is not just a legal term; it is the economic backbone of our culture. If we cede it to machines, we risk devaluing the human experience itself," market analysts suggest.
Conclusion: Towards a New Legal Framework
In 2026, the international community finds itself at a crossroads. The European Union, through the AI Act, imposes strict transparency rules, requiring AI creators to disclose the use of algorithms. However, copyright law remains fragmented. The solution may lie in creating a new category of rights—somewhere between traditional copyright and industrial design—that recognizes the human operator's contribution without equating the machine with the artist. Until then, the courtroom battles will persist, with every prompt serving as a potential legal landmine.
