A Follow-up Work to AISA-T: Elucidating the Human Evaluation Rubric for AGI Self-Awareness
Abstract
This paper serves as a crucial addendum to the AISA-T study, detailing a comprehensive rubric for
human evaluation of AGI responses. It formalizes the methodology for assessing AI self-awareness
across dimensions like Depth, Coherence, and Architectural Accuracy, aiming to enhance
reproducibility and transparency in future AGI research.
Keywords & Fields
Cite this work (BibTeX)
@article{deceuster2025_09-a-follow-up-work-,
title = {A Follow-up Work to AISA-T: Elucidating the Human Evaluation Rubric for AGI Self-Awareness},
author = {De Ceuster, Peter},
year = {2025},
month = {10},
institution = {SIG Labs},
doi = {10.5281/zenodo.16886061},
url = {https://peterdeceuster.uk/papers/09-a-follow-up-work-to-aisa-t-elucidating},
note = {Full text available at https://peterdeceuster.uk/articenter/work/AISA.pdf}
}