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U.S. Copyright Chief Fired After Questioning AI’s Fair Use of Creative Works

San Francisco, California, USA
May 13, 2025 (Updated: February 11, 2026) 0 Negative General
U.S. Copyright Chief Fired After Questioning AI’s Fair Use of Creative Works

TheWkly Analysis

Shira Perlmutter, who led the U.S. Copyright Office, has been dismissed following the release of a report that raised concerns about AI training practices. The report questioned whether using copyrighted materials for machine-learning datasets is truly “fair use.” Critics suspect the firing was politically motivated, with the administration siding with major tech companies aiming to freely harvest online content. Many lawmakers decry the removal as undermining an office meant to protect creators’ rights.

Multiple perspectives analyzed from 0 sources
What this means for you:
If you create music, art, or written content, watch for potential new AI data regulations—your work might be used in AI training without explicit permission.
Consider watermarking or registering your content to strengthen future claims of infringement.
In the meantime, track congressional hearings on AI to see if more robust protections for copyright holders emerge.

Key Entities

  • U.S. Copyright Office: An agency within the Library of Congress managing copyright registration and policy. Traditionally it remains neutral and serves creators’ and users’ interests.
  • Shira Perlmutter: Former register of copyrights. She is an attorney and scholar who emphasized clarity in copyright law amid emerging technologies.

Multi-Perspective Analysis

Left-Leaning View

The firing of the U.S. Copyright Chief highlights the urgent need for stronger protections for artists against the exploitative practices of AI technologies.

Centrist View

The dismissal of the Copyright Chief raises important questions about the balance between innovation in AI and the rights of creators in the digital age.

Right-Leaning View

This decision reflects a necessary shift towards embracing technological advancement, as overly cautious regulations could stifle AI development and economic growth.

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