Companies, governments and individuals are using data to create new services such as apps, artificial intelligence and the Internet of Things. These data-driven services rely on large pools of data and a relatively unhindered flow of data across borders (few market access or governance barriers). The current approach to governing cross-border data flows through trade agreements has not led to binding, universal or interoperable rules governing the use of data. Most countries with significant data-driven firms are in the process of debating how to regulate these services and the data that underpins them.
Recent Publications
XR ASSOCIATION PUBLISHES NEW WHITE PAPER WITH DIGITAL TRADE AND GOVERNANCE HUB AT GWU EXPLORING US COMPETITIVENESS IN IMMERSIVE TECHNOLOGY
Washington, D.C. – On November 8, 2023, the XR Association (XRA), the trade association representing the growing ecosystem of virtual, augmented, and mixed reality companies, announced the release of a white paper co-authored by the Digital Trade and Data Governance...
How to Regulate AI? Start With the Data
We live in an era of data dichotomy. On one hand, AI developers rely on large data sets to “train” their systems about the world and respond to user questions. These data troves have become increasingly valuable and visible. On the other hand, despite the import of...
Could a Global “Wicked Problems Agency” Incentivize Data Sharing?
Global data sharing could help solve “wicked” problems (problems such as climate change, terrorism and global poverty that no one knows how to solve without creating further problems). There is no one or best way to address wicked problems because they have many...