This paper presents a systematic review of the literature on evaluation criteria for Trustworthy Artificial Intelligence (TAI), with a focus on the seven EU principles of TAI. This systematic literature review identifies and analyses current evaluation criteria, maps them to the EU TAI principles and proposes a new classification system for each principle. The findings reveal both a need for and significant barriers to standardising criteria for TAI evaluation. The proposed classification contributes to the development, selection and standardization of evaluation criteria for TAI governance.
@article{arxiv.2410.17281,
title = {A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence},
author = {Louise McCormack and Malika Bendechache},
journal= {arXiv preprint arXiv:2410.17281},
year = {2024}
}
Comments
This work has been accepted for publication in AI and Ethics