The German Marshall Fund of the United States (GMF), in cooperation with the Tech, Law and Security Program (TLS) of the American University Washington College of Law, and with support from Microsoft, convened a Global Taskforce to Promote Trusted Sharing of Data comprising experts from civil society, academia, and industry to submit proposals for harmonizing approaches to global data use and sharing. Former US Ambassador to the Organisation for Economic Co-operation and Development (OECD) and GMF Distinguished Fellow Karen Kornbluh and Microsoft Chief Privacy Officer and Corporate Vice President Julie Brill co-chaired the taskforce; TLS Senior Project Director Alex Joel provided subject matter expertise.
The taskforce’s goal was to explore the common elements of existing proposals and identify viable paths toward a harmonized regime that allows data to flow in a trusted, secure, and rights-protecting way. This paper reflects the views of its authors at TLS and GMF. It was prepared by TLS’s Alex Joel with the assistance of Shanzay Pervaiz, who conducted extensive research and engaged with a range of experts, policymakers, and practitioners on whose professional experience and expertise this paper draws. GMF’s Karen Kornbluh and Julia Trehu also provided expert input.
Over 14 months, GMF and TLS jointly convened a series of roundtable discussions among members of the independent global taskforce. Its discussions did not seek to achieve agreement or consensus. Rather, members expressed a wide range of opinions and perspectives that greatly benefited this paper, which does not necessarily reflect the views of taskforce members (individually or collectively). Taskforce participation does not imply endorsement of or agreement with this paper in whole or in part. GMF and TLS thank the participants for selflessly sharing their time, expertise, and insights, and for engaging in productive and positive discussions on challenging issues. This paper was originally posted by GMF on their website.
Joel, Alex, "A Trusted Framework for Cross-Border Data Flows" (2023). Joint PIJIP/TLS Research Paper Series. 114.