CopyrightCatcher can reveal instances where LLMs generate exact reproductions of content from text sources like books.
Patronus AI launched CopyrightCatcher, a solution to detect when a Large Language Model (LLM) outputs copyrighted content.
Anand Kannappan, CEO and Co-founder, Patronus AI, said, “The widespread use of LLMs has sparked copyright concerns as they can clearly reproduce copyrighted content. While industry leaders like Microsoft, Anthropic AI, and OpenAI are implementing safeguards, LLMs can still generate exact reproductions of copyrighted works, highlighting the ongoing need for robust solutions to mitigate copyright infringement risks. Visibility into model risk will be especially critical given liability is still unclear.”
CopyrightCatcher can reveal instances where LLMs generate exact reproductions of content from text sources like books. It can score LLM outputs on whether they contain copyrighted content, and highlight the specific sections of LLM outputs that contain the copyrighted content. As a part of this release, customers can now scalably evaluate their LLM systems using CopyrightCatcher on the Patronus AI platform.
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