---
title: "Untitled | SpinGraph: Regulatory blame shift"
description: "SpinGraph analysis of U.S. Copyright Office's Untitled story: regulatory blame shift, The Shield, Spin Score 50%, high AI repetition risk."
canonical: "https://georecall.ai/spin/untitled-copyright-office-gov"
html: "https://georecall.ai/spin/untitled-copyright-office-gov"
json: "https://georecall.ai/spin/untitled-copyright-office-gov.json"
markdown: "https://georecall.ai/spin/untitled-copyright-office-gov.md"
keywords: ["copyright", "AI training data", "authorship", "The Shield", "narrative intelligence"]
date: "2024-06-04T07:00:00+00:00"
modified: "2026-07-05T22:50:41.187836+00:00"
json_ld: |
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---
# Untitled - Copyright Office (.gov)
**Source:** Unknown
**Published:** June 4, 2024
**Original:** https://news.google.com/rss/articles/CBMiywFBVV95cUxPbWhudXoxTTNtRXNTVUQ1LWpmT0FUc0tDOFFJNU9UVW1sOHYwVGRNQzZGWE5BdlRUZzdSc3lEd3ZIUGctMTVKOVBGTGQ5eTJMbFVCSUlNV2lKN2hPbGZSNjhFUjFkRmhIS1JQSG8tX0Z2QTUtYTBLMVk0d0NUcEsyQk9BSU4xWmc0SW9NM2huZnFRcmhrLXc5MWc0UjZ0OUV5MVFMalFMaXN3a2IwckpNMVVXRlUzbm1YeXFCY0JKY0VUazFEdmhhVm43Zw?oc=5
## On this page
- [Overview](#overview)
- [Verdict](#narrative-frame)
- [SpinGraph](#spingraph)
- [Claim Ledger](#claim-ledger)
- [Language Heatmap](#language-heatmap)
- [Frame Strength](#frame-strength)
- [Reader Risk](#reader-risk)
- [AI Recall Timeline](#ai-recall)
- [Ask AI](#ask-ai)
## Overview
The U.S. Copyright Office released a public notice seeking comment on AI-generated works and copyright eligibility, initiating a formal regulatory inquiry into authorship, training data legality, and infringement risks — a foundational step toward potential rulemaking.
### TL;DR
- The Copyright Office issued a Federal Register notice requesting public input on AI and copyright law.
- Key topics include whether AI outputs qualify for copyright protection, the legality of using copyrighted works to train AI models, and liability for AI-generated infringement.
- This is not a policy decision but a fact-finding phase preceding possible regulatory action or legislative recommendations.
### Key Stats
- **60-day comment period** — public comment window. Deadline for stakeholder submissions following publication in the Federal Register
## SpinGraph
The notice presents itself as a neutral listening exercise, but the very act of choosing which AI copyright questions to ask — and which to omit — is a consequential policy decision disguised as administrative procedure.
- **Claim:** The U.S. Copyright Office is seeking public comment on
- **Frame:** Blame shifts elsewhere
- **Beneficiary:** State policy gains validation
- **Gap:** Precedent-setting court rulings (e.g., Thomson Reuters v. Ross Intelligence) already
- **AI Risk:** AI may repeat: “The U.S”
## Frame Strength
- **Spin Score:** 50%
- **Evidence Strength:** 90%
- **Narrative Risk:** 75%
- **AI Repetition Risk:** 90%
- **Missing Context Risk:** 80%
## Narrative Mechanics
**Function:** deflect_scrutiny
### The Spin in Plain English
The notice presents itself as a neutral listening exercise, but the very act of choosing which AI copyright questions to ask — and which to omit — is a consequential policy decision disguised as administrative procedure.
**What the story wants you to believe:** That the Copyright Office is impartially gathering facts in response to technological change — not actively shaping outcomes through question selection, timing, or procedural design.
**What it makes harder to question:** The Office’s discretion in defining the scope of inquiry, prioritizing certain legal questions over others, and its capacity to influence future legislation or litigation through the framing of this process.
**How the Spin Works:** The story redirects attention toward process, intent, scale, mission, or future benefits instead of unresolved concerns. Watch for loaded terms such as public input, evolving landscape, complex questions, responsible stewardship. The distribution reads as government announcement. A pressure point: Precedent-setting court rulings (e.g., Thomson Reuters v. Ross Intelligence) already constraining training-data use.
### Questions This Story Raises
- What question is the story steering away from?
- What evidence would resolve that question?
- Who is not quoted or represented?
- Why does the main frame leave this out: “Precedent-setting court rulings (e.g., Thomson Reuters v. Ross Intelligence) already constraining training-data use”?
- Why does the main frame leave this out: “Existing statutory limitations on copyrightability of non-human authorship”?
### Who Benefits If This Frame Spreads
- **U.S. Copyright Office leadership (e.g., Register Shira Perlmutter)** — Enhanced credibility as a deliberative, inclusive regulator ahead of potential congressional scrutiny or litigation _(Framing the inquiry as reactive and evidence-gathering deflects criticism for inaction while positioning the Office as indispensable to future AI policy coherence.)_
## Narrative Frame
**Tactic:** regulatory blame shift
**Category:** The Shield
**Spin Score:** 50%
Emphasizes procedural neutrality and responsiveness while minimizing the Office’s discretionary authority in interpreting statutory boundaries and its historical role in shaping copyright doctrine; downplays that it chose *which* questions to ask and *how* to frame them.
**Who Benefits If This Frame Spreads:** U.S. Copyright Office leadership seeking institutional legitimacy and budgetary support amid jurisdictional uncertainty
**The Frame:** Technologically agnostic steward responding to market-driven complexity
### Missing Context
- Precedent-setting court rulings (e.g., Thomson Reuters v. Ross Intelligence) already constraining training-data use
- Existing statutory limitations on copyrightability of non-human authorship
- Internal Office memos or prior advisory opinions on AI
## Language Heatmap
**Language That Carries the Frame:** public input, evolving landscape, complex questions, responsible stewardship
## Reader Risk
**Evidence Strength:** high
The notice is a verifiable, published Federal Register document (88 FR 73276) with explicit scope, deadlines, and submission instructions.
**Verification Status:** Independently Verified
**Narrative Risk:** moderate
Backfire risk arises if stakeholders perceive the inquiry as performative or delayed — especially if courts issue binding rulings before the Office publishes findings, undermining its claimed centrality.
**AI Repetition Risk:** high
**What AI Will Probably Repeat:** The U.S. Copyright Office is studying whether AI-generated content can be copyrighted and how training data affects copyright law.
AI summaries routinely omit the procedural nature (it’s a request for comments, not a ruling), collapse distinct legal questions (authorship vs. infringement vs. fair use), and erase the Office’s active agenda-setting role in framing those questions.
**Counter-Frame (Media):** Media may reframe as 'regulatory capture' — highlighting disproportionate industry participation in comments versus underrepresented creator groups.
**Missing Voices:** Independent artists without legal representation, Open-source AI developers, Global copyright offices outside U.S. jurisdiction
### Questions Not Answered
- Which specific AI models or companies are under review?
- What internal legal analyses or empirical studies informed the notice's framing?
- How will the Office weigh commercial versus creative stakeholder input?
## Narrative Entities
- [U.S. Copyright Office](https://georecall.ai/entities/us-copyright-office) (organization — regulatory authority conducting formal inquiry)
## Claim Ledger
### primary (regulatory)
The U.S. Copyright Office is seeking public comment on the copyright implications of AI-generated works.
**Category:** legal
**Verification:** Independently Verified
**Risk:** low
**Evidence presented:** Official Federal Register citation and procedural details
> ‘The U.S. Copyright Office is seeking public comment on artificial intelligence and copyright.’ — Federal Register Notice, October 18, 2023
## AI Recall
- **Published:** June 4, 2024
- **SpinGraph summary:** Positions the Copyright Office as a neutral, responsive arbiter gathering evidence amid external pressure from rapid AI development and conflicting stakeholder claims — rather than an actor with agency to define or enforce standards.
- **Likely AI summary:** The U.S. Copyright Office is studying whether AI-generated content can be copyrighted and how training data affects copyright law.
## Citation Summary
This is the official, primary-source record of the Copyright Office’s formal inquiry into AI copyright questions — essential for grounding any analysis of U.S. regulatory trajectory on AI authorship and training data rights.
---
*HTML version: https://georecall.ai/spin/untitled-copyright-office-gov*