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
AI and Trade: The WTO’s Thoughtful but Incomplete Assessment
When the World Trade Organization (WTO) decided in 2024 to produce a report on the trade implications of artificial intelligence (AI), it set out to answer two key questions: How can the WTO help ensure that the benefits of AI are widespread? And, how can the...
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...