As new technologies expand the ability to reuse, transform, and even synthetically create archival materials, clear licensing language has become essential—not only to protect collections, set boundaries for use, and ensure alignment with institutional values, but also to safeguard the authenticity of the materials themselves.
To meet this need, the Licensing Language Working Group is developing adaptable boilerplate language that archives can use when updating license agreements to address generative AI. These tools are intended as a practical framework, helping institutions safeguard authenticity, protect collections, and ensure their policies reflect both mission and values while responding thoughtfully to emerging technological capabilities.