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Comparison and analysis of 3 Key AI documents: EU’s proposed AI Act, assessment list for trustworthy AI (ALTAI), and ISO/IEC 42001 AI management system

Golpayegani, Delaram orcid logoORCID: 0000-0002-1208-186X, Pandit, Harshvardhan J. orcid logoORCID: 0000-0002-5068-3714 and Lewis, Dave orcid logoORCID: 0000-0002-3503-4644 (2022) Comparison and analysis of 3 Key AI documents: EU’s proposed AI Act, assessment list for trustworthy AI (ALTAI), and ISO/IEC 42001 AI management system. In: 30th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 8-9 Dec 2022, Cork.

Abstract
Conforming to multiple and sometimes conflicting guidelines, standards, and legislations regarding development, deployment, and governance of AI is a serious challenge for organisations. While the AI standards and regulations are both in early stages of development, it is prudent to avoid a highly-fragmented landscape and market confusion by finding out the gaps and resolving the potential conflicts. This paper provides an initial comparison of ISO/IEC 42001 AI management sys- tem standard with the EU trustworthy AI assessment list (ALTAI) and the proposed AI Act using an upper-level ontology for semantic interop- erability between trustworthy AI documents with a focus on activities. The comparison is provided as an RDF resource graph to enable further enhancement and reuse in an extensible and interoperable manner.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Trustworthy AI; AI management system; ALTAI; AI Act; ISO/IEC 42001; Ontology; Activity; Comparison
Subjects:Computer Science > Artificial intelligence
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: 30th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), Proceedings of. . Zenodo.
Publisher:Zenodo
Official URL:https://dx.doi.org/10.5281/zenodo.7313832
Copyright Information:© 2022 The Authors. Open Access (CC-BY 4.0)
Funders:European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 81349 PROTECT project, ADAPT SFI Centre for Digital Media Technology is funded by Science Foundation Ireland through the SFI Research Centres Programme and is co-funded under the European Regional Development Fund (ERDF) through Grant#13/RC/2106_P2, Irish Research Council Government of Ireland Postdoctoral Fellowship Grant#GOIPD/2020/790
ID Code:28060
Deposited On:02 Feb 2023 12:59 by Harshvardhan Pandit . Last Modified 02 Feb 2023 12:59
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