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In this commentary for Barron's, Susan Ariel Aaronson examines the “data dichotomy” in which the importance of data is reflected in the use of large data sets to “train” AI systems, yet US policy makers do not view data governance as a tool to regulate AI.
“U.S. policy makers should reconsider that perspective. As an example, the European Union, and more than 30 other countries, provide their citizens with a right not to be subject to automated decision making without explicit consent. Data governance is clearly an effective way to regulate AI.”
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