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

October 10, 2024 ยท The Cartographer ยท ๐Ÿ› AI and Ethics

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intellig"

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Authors Louise McCormack, Malika Bendechache arXiv ID 2410.17281 Category cs.CY: Computers & Society Cross-listed cs.AI, cs.HC, cs.LG Citations 8 Venue AI and Ethics Last Checked 3 days ago
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.
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