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
Public Concerns About AI Are Getting Lost in Translation
Artificial intelligence (AI) is playing an increasingly important role in people’s lives, which has led to growing calls for AI regulation. Although the public has strong opinions on AI, getting policy makers to listen often leads to citizens’ concerns getting “lost...
Do AI Chatbot Firms Practice What They Preach?
This study examines whether leading AI chatbot companies implement the responsible AI principles they publicly advocate. The authors used a mixed-methods approach analyzing four major chatbots (ChatGPT, Gemini, Deep Seek, and Grok) across company websites, technical...
China-U.S. Rivalry Will Split the World into Competing AI Camps
The U.S. and China both put forward plans for artificial intelligence last month. The two have long sought to lead on AI, and their competition has led to technological breakthroughs, lower costs, and wider use of the technology. But as their new plans illustrate,...