A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence

TL;DR

This paper systematically reviews evaluation criteria for Trustworthy AI, aligning them with EU principles, and proposes a new classification system to aid standardization and governance.

Contribution

It introduces a novel classification system for TAI evaluation criteria, enhancing standardization and governance in AI trustworthiness.

Findings

Identification of current evaluation criteria for TAI

Mapping criteria to EU TAI principles

Highlighting barriers to standardization

Abstract

This paper presents a systematic review of the literature on evaluation criteria for Trustworthy Artificial Intelligence (TAI), with a focus on the seven EU principles of TAI. This systematic literature review identifies and analyses current evaluation criteria, maps them to the EU TAI principles and proposes a new classification system for each principle. The findings reveal both a need for and significant barriers to standardising criteria for TAI evaluation. The proposed classification contributes to the development, selection and standardization of evaluation criteria for TAI governance.