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dc.contributor.authorPandit, Harshvardhan
dc.date.accessioned2022-07-12T14:33:22Z
dc.date.available2022-07-12T14:33:22Z
dc.date.created13-15 September 2022en
dc.date.issued2022
dc.date.submitted2022en
dc.identifier.citationDelaram Golpayegani, Harshvardhan J. Pandit, Dave Lewis, AIRO: an Ontology for Representing AI Risks based on the Proposed EU AI Act and ISO Risk Management Standards, International Conference on Semantic Systems (SEMANTiCS), Vienna, Austria, 13-15 September 2022, 2022en
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/100132
dc.description.abstractThe growing number of incidents caused by (mis)using Artificial Intel- ligence (AI) is a matter of concern for governments, organisations, and the public. To control the harmful impacts of AI, multiple efforts are being taken all around the world from guidelines promoting trustworthy development and use, to stan- dards for managing risks and regulatory frameworks. Amongst these efforts, the first-ever AI regulation proposed by the European Commission, known as the AI Act, is prominent as it takes a risk-oriented approach towards regulating develop- ment and use of AI within systems. In this paper, we present the AI Risk Ontol- ogy (AIRO) for expressing information associated with high-risk AI systems based on the requirements of the proposed AI Act and ISO 31000 series of standards. AIRO assists stakeholders in determining ‘high-risk’ AI systems, maintaining and documenting risk information, performing impact assessments, and achieving con- formity with AI regulations. To show its usefulness, we model existing real-world use-cases from the AIAAIC repository of AI-related risks, determine whether they are high-risk, and produce documentation for the EU’s proposed AI Act.en
dc.language.isoenen
dc.rightsYen
dc.subjectAIen
dc.subjectOntologyen
dc.subjectSemantic Weben
dc.subjectRisken
dc.subjectRisk Managementen
dc.subjectAI Acten
dc.subjectISOen
dc.titleAIRO: an Ontology for Representing AI Risks based on the Proposed EU AI Act and ISO Risk Management Standardsen
dc.title.alternativeInternational Conference on Semantic Systems (SEMANTiCS)en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/pandithj
dc.identifier.rssinternalid244547
dc.relation.ecprojectidinfo:eu-repo/grantAgreement/EC/FP7/813497
dc.rights.ecaccessrightsopenAccess
dc.subject.TCDTagARTIFICIAL INTELLIGENCEen
dc.subject.TCDTagInternational Standardization Organisation (ISO)en
dc.subject.TCDTagRISK MANAGEMENTen
dc.subject.TCDTagSEMANTIC WEBen
dc.status.accessibleNen
dc.contributor.sponsorIrish Research Council (IRC)en
dc.contributor.sponsorGrantNumberGOIPD/2020/790en
dc.contributor.sponsorEuropean Commissionen
dc.contributor.sponsorGrantNumber813497en
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorGrantNumber13/RC/2106_P2en


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