An Ontology for Standardising Trustworthy AI
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2021Access:
openAccessCitation:
An Ontology for Standardising Trustworthy AI, Ali G. Hessami, Factoring Ethics in Technology, Policy Making and Regulation, London, UK, IntechOpen, 2021, Dave Lewis, David Filip, Harshvardhan J PanditAbstract:
Worldwide, there are a multiplicity of parallel activities being undertaken in developing international standards, regulations and individual organisational policies related to AI and its trustworthiness characteristics. The current lack of mappings between these activities presents the danger of a highly fragmented global landscape emerging in AI trustworthiness. This could present society, government and industry with competing standards, regulations and organisational practices that will then serve to undermine rather than build trust in AI. This chapter presents a simple ontology that can be used for checking the consistency and overlap of concepts from different standards, regulations and policies. The concepts in this ontology are grounded in an overview of AI standardisation currently being undertaken in ISO/IEC JTC 1/SC 42 and identifies its project to define an AI management system standard (AIMS or ISO/IEC WD 42001) as the starting point for establishing conceptual mapping between different initiatives. We propose a minimal, high level ontology for the support of conceptual mapping between different documents and show in the first instance how this can help map out the overlaps and gaps between and among SC 42 standards currently under development
Sponsor
Grant Number
IRSET Postdoctoral Fellowship
GOIPD/2020/790
Marie Curie
813497
Science Foundation Ireland (SFI)
13/RC/2106_P2
Author's Homepage:
http://people.tcd.ie/delewishttp://people.tcd.ie/pandithj
Description:
PUBLISHEDLondon, UK
Author: Lewis, David; Pandit, Harshvardhan
Sponsor:
IRSET Postdoctoral FellowshipMarie Curie
Science Foundation Ireland (SFI)
Other Titles:
Factoring Ethics in Technology, Policy Making and RegulationPublisher:
IntechOpenType of material:
Book ChapterCollections
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Full text availableSubject (TCD):
Digital Engagement , open standardsDOI:
10.5772/intechopen.97478Metadata
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