title: The Impact of Copyrighted Material on Large Language Models: A Norwegian
    Perspective
summary: The use of copyrighted materials in training generative language models
  raises critical legal and ethical questions. This paper presents a framework
  for and the results of empirically assessing the impact of copyrighted
  materials on the performance of large language models (LLMs) for Norwegian. We
  found that both books and newspapers contribute positively when the models are
  evaluated on a diverse set of Norwegian benchmarks, while fiction works
  possibly lead to decreased performance. Our experiments could inform the
  creation of a compensation scheme for authors whose works contribute to AI
  development.
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paper_title: The Impact of Copyrighted Material on Large Language Models: A Norwegian
    Perspective
paper_summary: The use of copyrighted materials in training generative language models
  raises critical legal and ethical questions. This paper presents a framework
  for and the results of empirically assessing the impact of copyrighted
  materials on the performance of large language models (LLMs) for Norwegian. We
  found that both books and newspapers contribute positively when the models are
  evaluated on a diverse set of Norwegian benchmarks, while fiction works
  possibly lead to decreased performance. Our experiments could inform the
  creation of a compensation scheme for authors whose works contribute to AI
  development.