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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Data Disquiet: Concerns about the Governance of Data for Generative AI
The growing popularity of large language models (LLMs) has raised concerns about their accuracy. These chatbots can be used to provide information, but it may be tainted by errors or made-up or false information (hallucinations) caused by problematic data sets or...
Facing Reality: Canada Needs to Think about Extended Reality and AI
Although Canada is a leader in becoming the first nation to develop an artificial intelligence (AI) strategy, it is falling behind other countries in extended reality (XR) competitiveness. In this paper, the authors look at why Canada is lagging in this area and what...
The U.S.-led digital trade world order is under attack–by the U.S.
This year, America’s digital trade negotiator made a startling announcement at the World Trade Organization (WTO). The negotiator spoke at the behest of U.S. Trade Representative Ambassador Kathrine Tai. At the time, Congress and various U.S. regulatory agencies were...