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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The Dangers of AI Nationalism and Beggar-Thy-Neighbour Policies
As they attempt to nurture and govern AI, some nations are acting in ways that – with or without direct intent – discriminate among foreign market actors. For example, some governments are excluding foreign firms from access to incentives for high-speed computing, or...
Talking to a Brick Wall: The US Government’s Response to Public Comments on AI
April 28, 2025 Building trust in artificial intelligence (AI) is an elusive goal, especially if AI models are closed or partially open, making it difficult for users to determine if these models are reliable, fair or trustworthy. For this reason, the Biden...
US Import Tariffs Will Hurt Americans, Too
February 12, 2025 A tractor is parked beside a greenhouse in Kingsville, Ontario, Canada, February 4, 2025. A 25 percent US tariff on farm imports from Canada would be devastating for the agricultural sector (Carlos Osorio/REUTERS) US President Donald Trump views...