When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration

arXiv:2607.15006 · cs.HC, cs.AI · Submitted 2026-07-16 · Read on arXiv

cs.HC, cs.AI

Submitted: 2026-07-16

Updated: 2026-07-16

Code: https://github.com/celinatreuillier/Authorship_Calibration_CoAuthor

Terminology

Calibration — 94× in this paper · explained in 9 episodes
Generative AI — 13× in this paper · explained in 2 episodes
Artificial Intelligence — 8× in this paper
Metacognition — 7× in this paper · explained in 5 episodes
Self-Regulated Learning — 6× in this paper
Artificial Intelligence (AI) — 4× in this paper · explained in 2 episodes
Accuracy — 3× in this paper · explained in 1 episode
Coherence — 2× in this paper · explained in 2 episodes
Editor — 2× in this paper · explained in 2 episodes
Provenance — 2× in this paper · explained in 5 episodes
Standard Deviation — 2× in this paper
Active Learning — 1× in this paper · explained in 6 episodes
Actor — 1× in this paper · explained in 3 episodes
Adaptation — 1× in this paper · explained in 1 episode
Clustering — 1× in this paper · explained in 2 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 3 episodes
Language Models (LLMs) — 1× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 1× in this paper · explained in 8 episodes

Sources

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