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 data, U.S. policy makers don’t view data governance as a vehicle to regulate AI.
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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...
Regrets of the Tech Bros: In a land ruled by the law of the jungle
On his Inauguration Day, Donald Trump sent a message. The founders and CEOs of Apple,Amazon, Google, Meta, Open AI, and Uber, among other giant high-tech companies, sat in the front rows near the Trump family and cabinet nominees. Trump and his staff wanted to use...