Ethical AI Governance: Methods for Evaluating Trustworthy AI

Louise McCormack, Malika Bendechache
8/28/2024
cs.CYcs.AI

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Abstract

Trustworthy Artificial Intelligence (TAI) integrates ethics that align with human values, looking at their influence on AI behaviour and decision-making. Primarily dependent on self-assessment, TAI evaluation aims to ensure ethical standards and safety in AI development and usage. This paper reviews the current TAI evaluation methods in the literature and offers a classification, contributing to understanding self-assessment methods in this field.

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Cite this paper

@article{mccormack2024ethical,
  title  = {Ethical AI Governance: Methods for Evaluating Trustworthy AI},
  author = {Louise McCormack and Malika Bendechache},
  year   = {2024},
  eprint = {2409.07473},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2409.07473v1}
}

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