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New framework PSALM evaluates LLM copyright infringement risks under EU law

By PulseAugur Editorial · [2 sources] ·

A new framework called PSALM has been developed to evaluate copyright infringement risks in large language models (LLMs) under EU law. The framework goes beyond detecting verbatim copying to assess stylistic similarities, narrative structure, and creative elements. Experiments with Llama~3.2 models showed that fine-tuning systematically induces stylistic appropriation, even after unlearning techniques are applied, highlighting the inadequacy of current safeguards. AI

IMPACT Highlights the need for advanced safeguards in LLMs to comply with evolving copyright laws, impacting AI development and deployment strategies.

RANK_REASON The cluster contains an academic paper detailing a new framework and experimental findings related to AI and copyright law.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New framework PSALM evaluates LLM copyright infringement risks under EU law

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Noah Scharrenberg, Chang Sun ·

    Probing Stylistic Appropriation using Large Language Models: An Evaluation Framework for Copyright Infringement under EU Law

    arXiv:2606.31250v1 Announce Type: cross Abstract: Large language models (LLM) trained on web-scale corpora generate output that may infringe copyright, yet existing technical safeguards focus narrowly on verbatim memorisation. EU copyright doctrine applies a broader standards: su…

  2. arXiv cs.CL TIER_1 English(EN) · Chang Sun ·

    Probing Stylistic Appropriation using Large Language Models: An Evaluation Framework for Copyright Infringement under EU Law

    Large language models (LLM) trained on web-scale corpora generate output that may infringe copyright, yet existing technical safeguards focus narrowly on verbatim memorisation. EU copyright doctrine applies a broader standards: substantial similarity, which extends to stylistic c…

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