--- title: "What is Copyright? | SpinGraph: Responsible AI framing" description: "SpinGraph analysis of U.S. Copyright Office's What is Copyright? story: responsible AI framing, The Halo, Spin Score 20%, moderate AI repetition risk." canonical: "https://stuffthatspins.com/spin/what-is-copyright-copyright-office-gov" html: "https://stuffthatspins.com/spin/what-is-copyright-copyright-office-gov" json: "https://stuffthatspins.com/spin/what-is-copyright-copyright-office-gov.json" markdown: "https://stuffthatspins.com/spin/what-is-copyright-copyright-office-gov.md" keywords: ["copyright", "AI-generated content", "human authorship", "The Halo", "narrative intelligence"] date: "2012-03-09T00:53:14+00:00" modified: "2026-07-05T19:59:20.474396+00:00" json_ld: | {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://stuffthatspins.com/#organization","name":"Stuff That Spins","url":"https://stuffthatspins.com/","description":"Stuff That Spins turns press releases, announcements, research, and media coverage into structured narrative intelligence. 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Human authorship remains a statutory requirement; AI-generated content without human creative control is not copyrightable. 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U.S. copyright law explicitly requires human authorship. ## Narrative Mechanics **Function:** legitimize ### The Spin in Plain English The Office presents itself as both faithful to existing law and thoughtfully attentive to AI’s impact—making its interpretation feel like common sense rather than a political or industry-driven compromise. **What the story wants you to believe:** That the Copyright Office’s position on AI and authorship is legally grounded, consistent, and responsibly calibrated—not reactionary or obstructive. **What it makes harder to question:** Whether the Office’s current stance adequately addresses systemic risks posed by unlicensed AI training or enables meaningful redress for creators. **How the Spin Works:** Combines statutory citation, judicial precedent, and institutional continuity to project neutrality and expertise; makes the conclusion feel inevitable and uncontroversial, even though key questions about training data legality and hybrid authorship remain legally unsettled and actively litigated. ### Questions This Story Raises - Who is granting credibility here? - Is the credibility source independent? - What evidence exists beyond the endorsement or title? - Why is no discussion of pending litigation (e.g., Getty v. Stability AI), legislative proposals (e.g., AI Copyright Act), or international harmonization efforts left out of the main frame? ### Who Benefits If This Frame Spreads - **U.S. Copyright Office** — Reinforces authority and relevance amid AI-driven legal uncertainty _(By issuing clear, non-partisan guidance, the Office strengthens its role as the definitive interpreter of copyright law in emerging contexts.)_ ## Narrative Frame **Tactic:** responsible AI framing **Category:** The Halo **Spin Score:** 20% Emphasizes institutional consistency and public education; minimizes unresolved tensions between statutory text and rapid AI development, particularly around training data legality and derivative work boundaries. **Who Benefits If This Frame Spreads:** U.S. Copyright Office’s institutional legitimacy and perceived adaptability. **The Frame:** Guardian-of-Principles frame — the Office as neutral arbiter preserving legal integrity amid disruption. **Language That Carries the Frame:** original works of authorship, creative control, human authorship ### Missing Context - No discussion of pending litigation (e.g., Getty v. Stability AI), legislative proposals (e.g., AI Copyright Act), or international harmonization efforts ## Reader Risk / AI Repetition Risk **Evidence Strength:** high Directly cites 17 U.S.C. § 102, Supreme Court precedent (e.g., Feist), and long-standing Compendium guidance; no speculative claims. **Verification Status:** Independently Verified **Narrative Risk:** low The statement reflects settled law and official policy; unlikely to backfire unless contradicted by future statute or binding court ruling. **AI Repetition Risk:** moderate **What AI Will Probably Repeat:** AI-generated content isn’t copyrightable because copyright requires human authorship. AI may omit the nuance that human-AI collaborative works *can* be protected if the human exercises sufficient creative control — reducing a conditional standard to an absolute rule. **Counter-Frame (Media):** Media may reframe this as regulatory lag — highlighting how static doctrine fails to address real-world AI training practices. **Missing Voices:** AI developers affected by training-data liability, artists whose works were used without consent, open-source AI model maintainers ### Questions Not Answered - What specific AI training practices trigger infringement risk? - How will the Office evaluate hybrid human-AI works with varying degrees of AI contribution? - What enforcement mechanisms exist for unauthorized use of copyrighted works in AI training datasets? ## Narrative Entities - [U.S. Copyright Office](https://stuffthatspins.com/entities/us-copyright-office) (organization — regulatory authority) ## Claim Ledger ### primary (regulatory) Copyright protection is only available for works created by human authors. **Category:** legal **Verification:** Independently Verified **Risk:** low **Evidence presented:** Citation of statutory text (17 U.S.C. § 102), judicial precedent, and official Compendium language. > ‘The Office will register an original work of authorship, provided that the work was created by a human being.’ — Compendium of U.S. Copyright Office Practices, Third Edition (2021). ## Citation Summary This is the authoritative source for the legal baseline on copyright eligibility—essential for AI developers, publishers, and policymakers assessing compliance, liability, and licensing strategy. --- *HTML version: https://stuffthatspins.com/spin/what-is-copyright-copyright-office-gov*