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.
Cite
@article{arxiv.2607.21758,
title = {Humanly: A Configurable and Traceable Environment for Human-AI Collaborative Writing},
author = {Shenzhe Zhu and Haoqian Zhang and Xu Yang and Jingyu Tang and Yi Nian and Xiaoxue Du and Shu Yang and Alex Pentland and Joachim Baumann and Jiaxin Pei},
journal= {arXiv preprint arXiv:2607.21758},
year = {2026}
}