Ethical AI Governance: Methods for Evaluating Trustworthy AI
This work addresses the need for systematic evaluation of ethical AI for developers and policymakers, but it is incremental as it reviews and classifies existing methods.
The paper reviews and classifies existing methods for evaluating Trustworthy AI, focusing on self-assessment approaches to ensure ethical standards and safety in AI development.
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.