Introduction
This research project explores the implications of co-generated data within the realm of generative AI, focusing on various scenarios that highlight the complexities of rights associated with such data.
Description
The research project investigates co-generated data and its implications for generative AI [2], concentrating on six diverse scenarios: remunerated work [1], collaborative crowd-sourced data collection [1] [2], social media platforms [1] [2], Internet of Things applications [1] [2], and conversational generative AI [1] [2]. The analysis indicates that co-generators navigate a complex landscape of rights [1] [2], encompassing intellectual property [1] [2], data rights [1] [2], and labor rights [1] [2]. Notably, significant gaps persist [1] [2], particularly regarding the rights associated with AI-generated works and the rights of communities and collectives involved in the co-generation process [1] [2]. The determination of rights over various types of co-generated data [1] [2], especially within the context of generative AI models [1] [2], continues to present challenges. Comprehensive research is essential to effectively map the rights landscape, identify existing gaps [1] [2], and explore alternative mechanisms [1] [2], including new technologies, governance models [1] [2], and licensing frameworks [1].
Conclusion
The findings underscore the need for a thorough understanding of the rights landscape in the context of co-generated data and generative AI. Addressing the identified gaps is crucial for ensuring equitable rights distribution and fostering innovation. This necessitates ongoing research and the development of new governance models and licensing frameworks to adapt to the evolving technological landscape.
References
[1] https://oecd.ai/en/wonk/documents/04-from-co-generated-data-to-generative-ai-new-rights-and-governance-models-in-digital
[2] https://oecd.ai/en/wonk/documents/from-co-generated-data-to-generative-ai
