In this CCC LinkedIn Live event, we discuss the main challenges organizations face with literature management, and we address some of the top questions we hear from small life sciences companies.
As generative AI reshapes how we create and consume content, one question looms large: how can copyright keep up? This paper by Daniel Gervais and Erin Finlay explores how collective licensing can reduce legal uncertainty, ensure fair compensation, and build a balanced marketplace where creators, users, and AI developers can all thrive.
Explore key findings on AI usage, collaboration, and copyright awareness, as well as a list of suggested actions to address content challenges and encourage copyright compliance.
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.
The interplay between fair use and infringement is perhaps best explored in the Texaco case, in which evidence of (my current employer) CCC’s collective license for internal commercial reuse was introduced
In a recent CCC Town Hall event, panelists discussed whether current AI technology infringes copyrights, both in the way its underlying large language models (LLMs) are developed, or trained, and in the outputs it enables users to create.
