{"id":37666,"date":"2026-05-13T15:10:13","date_gmt":"2026-05-13T15:10:13","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/37666\/"},"modified":"2026-05-13T15:10:13","modified_gmt":"2026-05-13T15:10:13","slug":"human-authorship-still-governs-copyright-in-the-age-of-ai","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/37666\/","title":{"rendered":"Human Authorship Still Governs Copyright in the Age of AI"},"content":{"rendered":"<p>Key Takeaways<\/p>\n<p>Copyright law\u2019s existing framework still governs AI-generated outputs: originality, human authorship and fixation remain the core principles.<br \/>\nIn 2025, the D.C. Circuit confirmed that the Copyright Act requires human authorship and does not permit copyright registration for works generated autonomously by AI.<br \/>\nThe Copyright Office has taken the same position: AI-assisted works may be protectable, but purely AI-generated material, or material reflecting insufficient human control over expressive elements, is not.<br \/>\nFor businesses, the practical question is not whether AI may be used to create content \u2014 it may. The question is whether the business can identify and document enough human-authored expression to support ownership, registration and enforcement.<\/p>\n<p>Businesses across industries now use generative AI to draft advertising and website text, create images and presentations, generate software code and develop product concepts. As that use becomes more common, so does an increasingly important question: who, if anyone, owns the output?<\/p>\n<p>The answer begins with familiar copyright doctrine. Section 102(a) protects only \u201coriginal works of authorship,\u201d and the Supreme Court has long held that originality requires independent creation plus at least a modicum of creativity.1\u00a0Copyright also depends on authorship, which the Court has described as the person \u201cto whom anything owes its origin.\u201d2\u00a0In the AI context, that makes human authorship the central issue.<\/p>\n<p>Human Authorship Still Controls<\/p>\n<p>The clearest recent appellate authority is\u00a0Thaler v. Perlmutter. There, registration was sought for a visual work wholly generated by AI. The D.C. Circuit affirmed the refusal to register, holding that \u201cthe Copyright Act of 1976 requires all eligible work to be authored in the first instance by a human being.\u201d3\u00a0The court emphasized that authors are central to the statutory scheme and relied on Sections 102(a) and 201(a).<\/p>\n<p>The Copyright Office\u2019s 2023 registration guidance and 2025 AI report follow the same approach. The Office explained that when a machine produces a work\u2019s \u201ctraditional elements of authorship,\u201d the work lacks human authorship and is not registrable.4\u00a0The 2025 report likewise states that copyright does not extend to \u201cpurely AI-generated material, or material where there is insufficient human control over the expressive elements,\u201d while recognizing that copyright may protect human-authored elements in AI-assisted works, including creative selection, arrangement, and modification.5<\/p>\n<p>For businesses, then, the key inquiry is whether the final work contains enough human-authored expression to support copyright protection.<\/p>\n<p>Prompting Alone Is Probably Not Enough<\/p>\n<p>One of the clearest practical points in the Copyright Office\u2019s guidance is that prompting, by itself, generally does not establish authorship. The 2025 report states that prompts alone do not provide sufficient control over the expressive elements of current AI outputs. The 2023 guidance likewise explains that prompts may describe the desired result, but the system determines how those instructions are expressed.<\/p>\n<p>That does not mean prompts are irrelevant. They may help show process, and in some cases a prompt itself may be copyrightable as text if it is sufficiently original and fixed. But the copyright status of the prompt is separate from the copyright status of the output. Under the Copyright Office\u2019s current view, the stronger ownership argument comes from meaningful human revision, selection, arrangement, transformation or incorporation of AI-generated material into a larger human-authored work.<\/p>\n<p>Why Documentation Matters<\/p>\n<p>This issue matters not only for registration, but also for enforcement and litigation. A timely registration remains important: under 17 U.S.C. \u00a7 410(c), a registration made before or within five years after first publication is prima facie evidence of validity and of the facts stated in the certificate.<\/p>\n<p>That presumption, however, is rebuttable. In an AI-authorship dispute, a defendant may challenge validity through public statements, metadata, source files, version histories, prompt logs or other workflow evidence obtained in discovery. When validity is contested, the copyright owner may need to prove which portions of the work are actually human-authored and thus protectable.<\/p>\n<p>Courts also do not treat a copyrighted work as entirely protected or entirely unprotected. The Copyright Office\u2019s guidance contemplates mixed works and instructs applicants to claim the human-authored portions while excluding AI-generated material where appropriate. In practice, that means a court may protect only the human-created aspects of a work \u2014 such as substantial edits, creative arrangement or other original modifications \u2014 while treating the underlying AI-generated material as unprotectable.<\/p>\n<p>That is why process matters. A company\u2019s future position may depend less on broad claims that AI was merely a \u201ctool\u201d and more on whether it can show, with contemporaneous evidence, what a human actually contributed to the authorship of the copyrighted work.<\/p>\n<p>Practical Steps Companies Should Consider Now<\/p>\n<p>Businesses using generative AI should consider a few immediate steps:<\/p>\n<p>Document human creative input.\u00a0Preserve drafts, edits, source files and records showing who selected, arranged, revised or transformed AI outputs.<br \/>\nDo not assume prompting establishes ownership.\u00a0Prompt logs may help show process, but they are not a substitute for evidence of human-authored expression.<br \/>\nBe precise in registration strategy.\u00a0Applicants should disclose AI-generated material where required, identify the human author\u2019s contribution and claim only the human-authored portions.<br \/>\nRevisit contracts and internal policies.\u00a0Vendor agreements, employee policies and content-development protocols should not assume that all AI-assisted output is fully protectable or exclusively owned in the same way as traditionally authored material.<\/p>\n<p>Bottom Line<\/p>\n<p>The law remains grounded in conventional copyright principles. The Copyright Office\u2019s recent guidance and the D.C. Circuit\u2019s decision in\u00a0Thaler\u00a0point in the same direction: copyright protection still turns on human authorship, even when AI is part of the process.<\/p>\n<p>For businesses, the practical implication is not simply that some AI-generated works may be unprotectable. It is that ownership, registration and enforcement may depend on whether the company can later show what a human author actually contributed. In that sense, AI governance is also evidence governance.\u00a0<\/p>\n<p>[1]\u00a017 U.S.C. \u00a7 102(a);\u00a0Feist, 499 U.S. at 345.<\/p>\n<p>[2]\u00a0Burrow-Giles Lithographic Co. v. Sarony, 111 U.S. 53, 58 (1884).<\/p>\n<p>[3]\u00a0Thaler, 130 F.4th at 1041, 1044.<\/p>\n<p>[4] 88 Fed. Reg. at 16,192\u201393.<\/p>\n<p>[5]\u00a0U.S. Copyright Office,\u00a0Copyright and Artificial Intelligence, Part 2: Copyrightability\u00a0iii, 15, 19\u201320.<\/p>\n","protected":false},"excerpt":{"rendered":"Key Takeaways Copyright law\u2019s existing framework still governs AI-generated outputs: originality, human authorship and fixation remain the core&hellip;\n","protected":false},"author":2,"featured_media":37667,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,25],"class_list":["post-37666","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/37666","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=37666"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/37666\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/37667"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=37666"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=37666"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=37666"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}