Commentary: Continuous Turing Test -- a Sociological and Psychological Approach on Human-AI Distinction
Abstract
Traditional methods of distinguishing between human and artificial intelligence users typically rely on single-point assessments. This paper proposes the Continuous Turing Test (CTT), which evaluates human-like behavior over extended interactions. By incorporating principles from sociology and psychology, CTT aims to identify uniquely human traits through sustained engagement, including emotional consistency, contextual awareness, and authentic personal narrative development. We present a theoretical framework and implementation architecture, along with a comprehensive plan for empirical validation.
Cite
Text
Wang and Hu. "Commentary: Continuous Turing Test -- a Sociological and Psychological Approach on Human-AI Distinction." ICLR 2025 Workshops: AI4CHL, 2025.Markdown
[Wang and Hu. "Commentary: Continuous Turing Test -- a Sociological and Psychological Approach on Human-AI Distinction." ICLR 2025 Workshops: AI4CHL, 2025.](https://mlanthology.org/iclrw/2025/wang2025iclrw-commentary/)BibTeX
@inproceedings{wang2025iclrw-commentary,
title = {{Commentary: Continuous Turing Test -- a Sociological and Psychological Approach on Human-AI Distinction}},
author = {Wang, Michelle and Hu, Xinyu},
booktitle = {ICLR 2025 Workshops: AI4CHL},
year = {2025},
url = {https://mlanthology.org/iclrw/2025/wang2025iclrw-commentary/}
}