Ethical AI Governance: Methods for Evaluating Trustworthy AI
arXiv:2409.07473
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.
6 pages, 1 figure, accepted for presentation at AIEB 2024: Workshop on Implementing AI Ethics Through a Behavioural Lens - ECAI, Octoebr 2024