OpenAI\u2019s policy chief Chris Lehane says the U.S. is in a high-stakes race with China over artificial intelligence\u2014and risks losing if it imposes tighter restrictions on AI developers. Speaking at the Axios What’s Next Summit in Washington, Lehane warned that limitations on the use of copyrighted material for training AI could leave the U.S. at a strategic disadvantage.<\/p>\n
\u201cWhoever ends up winning ends up building the AI rails for the world,\u201d Lehane said. He argued that China is not bound by the same intellectual property laws and that the U.S. should ensure its own companies can stay competitive under a principle of fair use.<\/p>\n
OpenAI is pushing for U.S. policy that would explicitly allow AI companies to train on publicly available data\u2014even if it includes copyrighted content\u2014calling it a matter of national security. Lehane said there are already laws in place to govern AI use and that companies like OpenAI are acting responsibly by aligning with public concerns like protecting children, identifying AI-generated content, and limiting deepfakes.<\/p>\n
OpenAI has also signed licensing deals with media organizations including the Associated Press, Axel Springer, and Axios. Lehane emphasized that OpenAI supports fair compensation, but that over-regulation could stall U.S. leadership in AI innovation.<\/p>\n
When pressed on whether OpenAI trains its models on copyrighted material, Lehane replied that the company uses data that is \u201cappropriately accessible and available,\u201d a phrase commonly used in the industry to cover broad web-scraping practices. He then pivoted back to China, asking, \u201cDo you want the world built on autocratic, authoritarian AI\u2026 where you\u2019re not going to have any fair use or any freedoms?\u201d<\/p>\n
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OpenAI\u2019s policy chief Chris Lehane says the U.S. is in a high-stakes race with China over artificial intelligence\u2014and risks losing if it imposes tighter restrictions on AI developers. Speaking at the Axios What’s Next Summit in Washington, Lehane warned that limitations on the use of copyrighted material for training AI could leave the U.S. at […]<\/p>\n","protected":false},"author":2,"featured_media":46830,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1350],"tags":[],"class_list":["post-46829","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts\/46829","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/comments?post=46829"}],"version-history":[{"count":1,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts\/46829\/revisions"}],"predecessor-version":[{"id":46831,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts\/46829\/revisions\/46831"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/media\/46830"}],"wp:attachment":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/media?parent=46829"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/categories?post=46829"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/tags?post=46829"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}