Humanly: A Configurable and Traceable Environment for Human-AI Collaborative Writing

Researchers introduced Humanly, a writing platform that records the entire writing process to distinguish human typing from AI-generated text, addressing the challenge of verifying authorship in collaborative human-AI writing. The platform creates sealed writing certificates with anomaly detection, and user studies show it effectively differentiates human hand typing from automated typing across roles such as course assignments and peer review.

arXiv:2607.21758v1 Announce Type: new Abstract: Teachers, conference chairs, and public readers all judge writing from limited evidence, seeing only a finished document and not the process that produced it. Final text alone cannot reveal whether a document was produced through human typing, AI generation, or mixed human-AI collaboration. Existing process-tracking tools help, but many are tied to host-document histories, provide coarse activity records, and offer limited control over the writing environment. Humanly is a writing platform that makes the writing process itself the evidence. Users configure writing environments for personal documents or assigned tasks and draft in a workspace that records writing activity and in-platform AI assistance. Humanly can package a completed session into a sealed writing certificate with configuration-aware anomaly behavior review. It can support writing scenarios such as course assignments, peer review, and personal certification. Our user study shows that Humanly is helpful across roles, and a red-teaming study shows that the Humanly Typing Detector distinguishes human hand typing from automated typing.