The article concludes that current intellectual property laws, which strictly require human authorship, are inadequate for addressing content created by generative AI. While dominant jurisdictions such as the US and EU deny copyright to purely machine-generated works, a shift is emerging in favor of attributing rights to the human entities—developers or users—who invest significant resources and exert creative control, mirroring frameworks already present in countries like the UK. A central implication for open data is the unresolved status of the training datasets used by AI systems. Since these tools learn from existing creative works, often without explicit permission, there is a critical tension between the open availability of data for technological advancement and the protection of original creators' rights. This highlights the need for clear standards on data usage to prevent the exploitation of copyrighted material under the guise of algorithmic learning. Relevance to open data lies in the urgent need for balanced regulatory frameworks that acknowledge AI’s role without undermining human creativity. As technology evolves, society must define how data can be openly shared and utilized for training while preserving the legal and ethical rights of authors. Establishing global guidelines ensures that the open data ecosystem supports innovation without erasing the foundational contributions of human creators.
Source: tn.com.arPublished on 2024-04-03