A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence

Louise McCormack, Malika Bendechache
10/10/2024
cs.CYcs.AIcs.HC

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Abstract

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.

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@article{mccormack2024comprehensive,
  title  = {A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence},
  author = {Louise McCormack and Malika Bendechache},
  year   = {2024},
  eprint = {2410.17281},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.17281v1}
}

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