Data for Artificial Intelligence
The Role of Governments as a Provider of Data for AI
Objectives
● Improving public service delivery
● Addressing societal challenges
● Promoting innovation and economic growth
However, sharing this data responsibly, in a way that protects fundamental rights, is crucial. Governments need to carefully navigate issues such as privacy, technical and institutional capacity, ethics, and public trust for such initiatives to be successful.
This project focuses on understanding how governments have gone about sharing data to derive key principles and develop a repeatable, actionable framework that governments can follow to help them responsibly navigate these challenges.
Supporting governments in enabling AI innovation through responsible data stewardship
The project team has developed a roadmap for responsible data sharing based on case studies, research of data sharing initiatives from around the world, and input from technical and legal experts with experience of working in public service delivery.
The roadmap takes the form of a checklist governments can follow, either in whole or in part, breaking the assessment to make data available down into discrete decision stages, each with a number of decision dimensions. Governments should be able to answer yes to each decision dimension before they can responsibly share data.
The roadmap was piloted with three governments (two national, one subnational) who covered a range of economic development and level of AI and digital adoption. Governments were taken through the roadmap and it was iterated on based on the learnings of the pilot projects.
What our partners have to say about the project
Resources
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The Role of Government as a Provider of Data for Artificial Intelligence: A practical tool for government data sharing for AIGPAI; Report; 2024
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The role of government as a provider of data for artificial intelligence: The ChecklistGPAI; Tool; 2024
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The Role of Government as a Provider of Data for Artificial Intelligence - Interim ReportGPAI; Report; 2023
Team
Stephanie King
Director of AI Initiatives
Ching-Yi Liu
GPAI expert and Project co-lead
Jhalak Kakkar
GPAI expert and Project co-lead
Project Advisory Group
Kim McGrail
Andrea A. Jacobs
Christian Reimsbach
Bertrand Monthubert
Maja Bogataj
Collaborating with CEIMIA means contributing to the development of responsible AI solutions.
We welcome all GPAI member governments who are navigating these challenges who would be willing to participate in this project via offering applied case studies, by sharing their experiences and approaches as stewards of value data for AI.
Additionally, we welcome expert representatives from external organisations in this domain to join the team as members of the Project Advisory Group.