This webinar, co-convened with the Knowledge Transfer Network of the Statistical Conference of the Americas, brings together diverse stakeholders to discuss the promise and challenges of data sharing between governments and private companies.
In the context of growing calls to make data more open and accessible for public good and for increased access to representative datasets to train AI models, this session uncovers ways that companies, governments, and other stakeholders are approaching these new challenges. This webinar includes perspectives on privacy and regulation and stories of innovative models for public-private data sharing beyond mobile data.
Register here
Event date: September 19, 2024
Time: 9 a.m. EST / 2 p.m. BST + WAT / 4 p.m. EAT / 6.30 p.m. IST
Background
A vast amount of data that could be used to help decision-makers target development and aid efforts lies in the hands of the private sector, where concerns ranging from legislative barriers, data security, and user privacy to reputational harm and competitive advantage make accessing this data a challenge for national governments. This is a timely conversation as a push to develop AI tools for development has increased the need for accessible, interoperable training data. This series of events sets out to surface recent, real-world efforts by governments from around the globe, at different levels of development, and their private sector and civil society partners to set up sustained, secure, and ethical data sharing that benefits people.
Learn more: Unlocking Privately-Held Data for Public Good
