Regulating Cross-Border Data Flows: Harnessing Safe Data Sharing for Global and Inclusive Artificial Intelligence

Tshilidzi Marwala, Eleonore Fournier-Tombs and Stinckwich, Serge (2023). Regulating Cross-Border Data Flows: Harnessing Safe Data Sharing for Global and Inclusive Artificial Intelligence. UNU Technology Brief. United Nations University.

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    UNU-TB_3-2023_Regulating-Cross-Border-Data-Flows.pdf English PDF application/pdf 140.5KB
    UNU-TB_3-2023_Regulating-Cross-Border-Data-Flows_JP.pdf Japanese PDF application/pdf 350.38KB
  • Author Tshilidzi Marwala
    Eleonore Fournier-Tombs
    Stinckwich, Serge
    Title Regulating Cross-Border Data Flows: Harnessing Safe Data Sharing for Global and Inclusive Artificial Intelligence
    Series Title UNU Technology Brief
    Volume/Issue No. 3
    Publication Date 2023-10
    Place of Publication Tokyo
    Publisher United Nations University
    Pages 7
    Language eng
    Abstract In an increasingly interconnected world, data movement across international borders has become crucial to economic development, innovation and social advancement in an age of interconnected global networks. The international flow of data contributes to economic growth by fostering innovation, enhancing productivity, and facilitating international trade. However, calls to reduce barriers to cross-border data flows have sparked concerns regarding privacy, security, and data protection. The critical policy issue related to cross-border data flows is their potential restriction, particularly through data localization requirements. These requirements force organizations to restrict data access, sharing, and re-use within national borders. However, such restrictions can harm the functioning of markets and the prosperity of societies by limiting the benefits of sharing and re-using data across countries. Nevertheless, it is critical to proportionally address risks, consider the sensitivity of data and understand the purpose and context of processing. Cross-border data flows are becoming increasingly important in the global artificial intelligence (AI) conversation. The ability to freely and securely transfer data across borders allows AI systems to access diverse information, which is an essential element of debiasing and democratizing AI. However, the emerging patchwork of regulatory approaches to data flows could hinder the deployment of AI systems globally, restrict access to data, and require the duplication of technologies and effort because of data location fragmentation. Therefore, to fully reap the benefits of AI, more interoperable regulatory approaches that enable the free flow of data with trust are needed.
    Copyright Holder United Nations University
    Copyright Year 2023
    Copyright type All rights reserved
    ISBN 9789280891454
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    Created: Thu, 26 Oct 2023, 15:37:18 JST by Powell, Daniel on behalf of UNU Office of Communications