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Ethical AI Governance: Methods for Evaluating Trustworthy AI

Year: 2024
Type: preprint
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.
Language: English
Subfield: Safety Research
Open Access status: green
OpenAlex ID: W4403662748
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Cited by: 1
Related to: 10