English

Ethical AI Governance: Methods for Evaluating Trustworthy AI

Computers and Society 2024-09-13 v1 Artificial Intelligence

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.

Keywords

Cite

@article{arxiv.2409.07473,
  title  = {Ethical AI Governance: Methods for Evaluating Trustworthy AI},
  author = {Louise McCormack and Malika Bendechache},
  journal= {arXiv preprint arXiv:2409.07473},
  year   = {2024}
}

Comments

6 pages, 1 figure, accepted for presentation at AIEB 2024: Workshop on Implementing AI Ethics Through a Behavioural Lens - ECAI, Octoebr 2024

R2 v1 2026-06-28T18:41:35.704Z