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

Autor:	McCormack, Louise, Bendechache, Malika
Rok vydání:	2024
Předmět:	Computer Science - Computers and Society Computer Science - Artificial Intelligence Computer Science - Human-Computer Interaction Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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. Comment: This work has been accepted for publication in AI and Ethics
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2410.17281 Zobrazit plný text záznamu View this record from Arxiv