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arXiv · 2409.07473

Ethical AI Governance: Methods for Evaluating Trustworthy AI

Louise McCormack·Malika Bendechache
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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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Louise McCormack, Malika Bendechache. 2024-08-28. Ethical AI Governance: Methods for Evaluating Trustworthy AI. https://arxiv.org/abs/2409.07473

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