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

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.

Computation and Language (cs.CL)

arXiv:2607.21758 [cs.CL]

(or arXiv:2607.21758v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2607.21758 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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