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U.N. panel warns concentrated training data risks bias; calls for data justice and interoperable governance
Summary
A high-level U.N. panel on data governance said major AI training sets are heavily skewed toward North America and Western Europe, urged capacity building and data justice, and tasked a multi-stakeholder working group to craft governance approaches that preserve rights while enabling interoperable data flows.
A U.N. panel convened at Action Day focused on data governance for artificial intelligence and warned that geographic and cultural concentration of training data risks producing systems that do not serve the majority of the world's population.
"In some major data sets used to train artificial intelligence, over 80% of the data comes from North America and Western Europe," the panel moderator said, summarizing evidence raised during the session. Panelists argued that such concentration can embed bias and exclusion into AI systems and urged action on data justice, capacity building and interoperable frameworks.
Panelists said steps to…
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