In today’s rapidly evolving digital landscape, organizations face a new challenge that combines technology adoption, information governance, and copyright compliance: Shadow AI.
In addition to copyright liability for using copyrighted works as inputs without permission, there is a lot of discussion about how to treat LLM outputs.
As AI technologies raise new questions, copyright law must adapt to address issues of unauthorized reproduction and adaptation of creative works in the training and use of LLMs.
Every year, millions of requests for content are placed by researchers using CCC’s document delivery service. The vast majority of items requested are made available to researchers in seconds, but there are times when researchers require content that isn’t so readily available.
As AI technologies continue to gain traction, pending lawsuits and legal uncertainty around the globe highlight the need to respect copyright law while leveraging the power of Artificial Intelligence.
Fast-paced organizations that rely on and invest heavily in R&D should not only regard published content as the heart of innovation, but also possess a deep appreciation of the system of copyright protecting this intellectual property.
Is offshoring the training of AI a credible and efficient response to minimize copyright compliance risks or is offshoring merely a theoretical argument designed to both influence lawmakers and for government relations purposes?
