Golpayegani, Delaram ORCID: 0000-0002-1208-186X, Pandit, Harshvardhan J. ORCID: 0000-0002-5068-3714 and Lewis, Dave ORCID: 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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