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A recent research paper published in Nature highlights that rhetoric around "open" AI often misleads the public and policymakers, creating a false sense of security. The study, led by David Widder, a Cornell University post-doctoral fellow, reveals that claims of openness in AI typically lack precision and fail to address the industry's substantial concentration of power.

The paper compares the concept of open AI to open-source software, arguing that the former does not democratize development in the same way. Widder points out that tech giants often use the term "open" to shape policies that benefit their interests, coining the term "openwashing" for such practices.

The research calls for additional measures, including antitrust enforcement and data privacy protections, to ensure a more diverse and accountable AI industry.

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