Published November 3, 2022 | Version v2

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

  • 1. ADAPT Centre, Trinity College Dublin

Description

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 system standard with the EU trustworthy AI assessment list (ALTAI) and the proposed AI Act using an upper-level ontology for semantic interoperability 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 extendable and interoperable manner.

Notes

This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No 813497, as part of the 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. Harshvardhan J. Pandit has received funding under the Irish Research Council Government of Ireland Postdoctoral Fellowship Grant#GOIPD/2020/790.

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Comparison and Analysis of 3 Key AI Documents.pdf

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Additional details

Funding

European Commission
PROTECT - Protecting Personal Data Amidst Big Data Innovation 813497
Science Foundation Ireland
ADAPT: Centre for Digital Content Platform Research 13/RC/2106