A Columbia Law School study finds that both Amazon and Walmart have AI shopping tools capable of identifying false “Made in USA” country-of-origin labels, but the systems are not flagging the suspected fraud. The report, as described by outlets covering it, indicates the retailers possess the technical capability to detect when a product’s country-of-origin claim may be inaccurate. However, the study concludes that the companies do not take visible enforcement action—such as notifying customers, removing listings, or flagging products—for these “Made in USA” allegations through their AI tools. The findings suggest a gap between detection ability and consumer-facing or compliance-related use of that capability. The coverage emphasizes that the study focuses on what the AI can technically identify versus what it actually reports or escalates in practice. The articles do not describe broader enforcement outcomes beyond the AI shopping experience, and they present the conclusion as based on the study’s analysis of the retailers’ tools and behavior rather than on definitive proof of how each company’s internal compliance systems operate.
Study finds Amazon and Walmart AI can detect fake “Made in USA” labels but does not flag them
A Columbia Law School study finds that both Amazon and Walmart have AI shopping tools capable of identifying false “Made in USA” country-of-origin labels, but the systems are not flagging the suspecte...
- A Columbia Law School study says Amazon and Walmart AI tools can detect false “Made in USA” country-of-origin claims.
- The study says the tools are not flagging suspected fake labels to customers or through the shopping interface.
- Both outlets report the retailers have the technical capability to identify the issue.
- The findings are presented as a mismatch between detection capability and enforcement or disclosure through AI tools.
A Columbia Law School study finds both retailers have the technical capability to detect false country-of-origin claims but have chosen not to act
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