There is no doubt that artificial intelligence (AI) is already in the process of reshaping how the world operates. But while AI-powered tools can now write code, draft text and produce images in seconds, this same technology is creating serious legal questions. Who really owns the output and what would happen if AI used copyrighted materials to learn? How sure are you that AI has not stolen your code yet?
How training data becomes an intellectual property (IP) problem
AI can create and protect both creative and analytical intellectual property. But if you are a developer, can you claim infringement if a company used your code to train their AI? Can you imagine working hundreds or even thousands of hours on a software, only to find out later that part of your work was fed into a system without your consent?
The biggest problem is that the material AI trains on—whether it is code, art or writing—already belongs to real people who put in that work. AI does not have the awareness to create its own unique work and everything it generates is only based on something it learned from existing material. So, if AI creates something that is partly based on something you created from scratch, your brainchild, do you partially own the results as well?
Key disputes emerging in AI and intellectual property
Who truly owns AI content? Here are some of the ways that current developers and companies are challenging how AI uses their work:
- Scraping and reusing code: Some tech companies use open-source code to train AI systems, which blurs the line between fair use and copyright infringement.
- Using copyrighted works in learning sets: There are now several lawsuits that argue that using copyrighted books, articles or images to train AI without permission is unlawful.
- Understanding derivative works vs. fair use: There are claims that AI outputs are simply unlicensed copies as opposed to transformative inventions from unique ideas.
- Defining transparency gaps: Many companies refuse to disclose what data they used to train their AI models, so creators cannot fully claim ownership of the output.
As a creator, you may be facing copyright issues that are not as straightforward as the IP challenges you had pre-AI, so you must change how you approach the problem from a legal standpoint as well.
What this means for your future
With AI and IP law still developing, Texas courts are still deciding whether training data use is fair use or infringement of your rights. You should document your work, use clear licenses and consult a legal counsel to protect your rights as new rulings on generative AI come in.
