Data for Artificial Intelligence
From co-generated data to generative artificial intelligence: New rights and governance models in digital ecosystems
Objectives
This project aims to explore the concepts of co-generation of data (including all types of media content), and AI models, with a focus on collective data rights.
By examining selected case studies and jurisdictions, we seek to build on their findings and provide actionable recommendations for policy makers on how to develop and integrate these concepts further in the context of AI.
Project description
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 and regulations are struggling to keep pace. This project aims to examine how existing concepts of rights and governance models relating to co-generation and co-opetition can be further developed to provide optimal benefits in the context of AI. We aim at promoting transnational convergence of policies on digital rights and obligations which will enable better data sharing and aid achieve 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 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.
Team
Stefan Janusz
Project Manager
Antoine Glory
Project Manager
Christiane Wenderhorst
GPAI expert and project co-lead
Kyoko Yoshinaga
GPAI expert and project co-lead
Project Advisory Group
Seong Oun Hwang
Zümrüt Müftüoğlu
Jaco Du Toit
Kudakwashe Dandajena
Zee Kin Yeong
Kim McGrail
Mikael Jensen
Ulises Cortes
Toshiya Jitsuzumi
Maja Bogataj
DELIVERY PARTNER
European Law Institute (ELI)
Sebastian Schwamberger
Alain Strouwel
ELI’s Advisory Committee
Benoit van Asbroeck
Neil B Cohen
Sjef van Erp
Simon Geiregat
María Lubomira Kubica
Ana Keglević Steffek
Tetsuo Morishita
Pascal Pichonnaz
Sam De Silva
Lord John Thomas
Christian Twigg-Flesner
Jos Uitdehaag
José Antonio Castillo Parrilla
Jacques de Werra
Collaborative opportunities with CEIMIA
The data governance landscape remains in a state of constant change and evolution.
For this project, although the activities have closed, CEIMIA would welcome approaches to continue this work through the following types of collaborations:
- Opportunities to disseminate the findings of the project through conference presentations, workshops.
