The vision of data control, or restricting cross-border data flows, as a means of protecting personal data is disruptive and inaccurate. Whether held by the public or private sector, societies benefit the most when large inventories of data are used, shared, and crossed with other sets of data.
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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,...
Taking the Wrong Lesson from China’s AI Strategy
Taking the Wrong Lesson from China’s AI Strategy The United States is mimicking China’s approach to centralized data, risking privacy, security and democratic accountability in the name of AI leadership. Chinese leaders early on recognized the importance of data for...



