Libraries are grappling with the burgeoning wave of AI-generated content, and one of the most popular platforms for digital borrowing, Libby, is set to introduce a new feature to help users navigate this evolving landscape. While not a direct AI content filter in the traditional sense, the app will soon allow libraries to tag and categorize materials, which could indirectly help users identify and avoid AI-generated works. This development comes as libraries worldwide face the challenge of maintaining the integrity and trustworthiness of their collections in the face of rapidly advancing artificial intelligence technologies.
The implications of AI-generated content in public and academic libraries are far-reaching. Concerns range from the potential for AI to flood collections with low-quality or even plagiarized material, to the ethical considerations of presenting AI-created works as human authorship. Libraries pride themselves on curating reliable resources, and the ease with which AI can produce text, images, and even code presents a significant hurdle. The proposed tagging system in Libby, while seemingly modest, represents a proactive step by a major library platform to empower librarians and, by extension, patrons, to make informed decisions about the content they consume.
This move by Libby highlights a broader trend of technological adaptation within the library sector. As AI continues to permeate various aspects of information creation and dissemination, institutions are seeking ways to leverage technology to manage its impact. The success of this tagging system will depend on widespread adoption by libraries and clear, consistent guidelines for categorization. It's a complex problem, and this solution offers a pragmatic, albeit indirect, approach to maintaining quality and user trust in the digital age.
What do you think about libraries using tagging systems to manage AI-generated content?