Artificial intelligence (AI) is surpassing human performance in a growing number of domains, however, there is limited evidence of its economic effects.

Using data from a digital platform, Hui and colleagues are studying a key application of AI: machine translation (MT) and its role in facilitating international trade. Study methods, which will be discussed, allow for teasing out causality from correlation. Results of the work provide causal evidence that language barriers significantly hinder trade and that AI has already begun to improve economic efficiency in at least one domain.

This program is part of the Brown School’s Artificial Intelligence in the Social Sciences series.

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