From co-generated data to generative artificial intelligence: New rights and governance models in digital ecosystems

As the deployment of AI technologies accelerates, there is an urgent need to rethink governance models, collective data rights, and ownership in digital ecosystems, with a focus on ethical AI deployment for public good.

In the face of rapidly advancing AI technologies, traditional laws are becoming obsolete. This project aims to examine how existing concepts of rights and governance models related to co-generation and co-opetition can be further developed to provide optimal benefits in the context of AI. Our goal is to rethink rights and governance models in digital ecosystems related to co-generation, with the aim of promoting transnational convergence of policies on digital rights and obligations. This will enable better data sharing, which is needed to achieve the UN Sustainable Development Goals.

Building on previous GPAI work, our research will explore questions such as whether rights to co-generated data should belong not only to individuals but also to groups, and whether parties who did not contribute to the generation of data, content, or AI could have similar rights. We will provide policymakers with actionable recommendations that will help society adapt to the new reality of cogeneration in AI-powered societies.

Currently, digital ecosystems are governed by different legislations depending on the jurisdiction they are in. This project aims to initiate a discussion and reflection on the necessity of transnational convergence of national and regional policies on the design and allocation of digital rights and obligations by rethinking rights and governance models in the context of digital ecosystems. The expected outcome of this project is to provide policymakers with actionable recommendations that will help society adapt to the new reality of cogeneration in AI-powered societies.