The Vacuum Zone of Law
The current legal system is built on the foundation of "humans as the sole creator." When AI Agents, under the scheduling of AIOS, generate brand-new content of commercial value based on massive amounts of copyrighted data from across the web, the traditional intellectual property framework completely fails.
The Core of Controversy: From Input to Output
- Usage Rights for Training Data: Is it "fair use" for an AI model to "read" copyrighted works? If an AI learns a painter’s style and generates new works, does this constitute plagiarism of style?
- Copyright Ownership of Generative Output: Do AI-generated code or design drafts belong to the user who entered the prompt, the vendor who developed the model, or are they entered into the public domain?
- Estimation of Dynamic Contribution: In results produced by multi-Agent collaboration, how can the "intellectual contribution ratio" of each underlying training data set in the final generative output be quantified?
Intellectual Tax and Micro-payment Protocols
Future solutions may not involve prohibition of use, but rather the establishment of an automatic royalty compensation mechanism at the AIOS layer.
When an Agent invokes logic that contains specific patents or copyrighted knowledge, the system will use blockchain technology to pay micro-amounts of "intellectual tax" to the original knowledge contributors in real-time.
Illustration
Figure 1: Illustration of intellectual contribution compensation circulation. The base layer is a colorful original data set protected by copyright. Through neutralization and conversion at the AIOS center, the generated monochromatic "synthetic intelligence" product is output globally. Dashed arrows represent automated micro-payment compensation flows back to the original creators. drug-delivery systems and economic models.