Open Regtech Models and Tools

ADAPT SFI Research Centre

As AI enters a new regulated era there is a growing need for open access to shared resrouces and tools that enable AI /data value chain actors, affected staekholder and oversight authorities to navigate the complexities of regulation, the protectios it aims to deliver and the economic and societal benefits it aim to unlock. This site collect open access models and tool arising from research conduct by projects and partners associated with the ADAPT Centre for digital content technology research.

The EU AI Act

High-Risk AI Applications

Is My AI System High-Risk?

The tool to assist you determine whether an AI system is High-Risk according to Annex III of the EU AI Act. Access the tool: high-risk version; extended version

AI Risk Ontology (AIRO)

https://w3id.org/airo

AIRO is an ontology for expressing risk of harm associated with AI systems based on the EU AI Act and ISO/IEC 23894 on AI risk management.

Vocabulary of AI Risks (VAIR)

https://w3id.org/vair

VAIR is an open vocabulary for AI risks. VAIR is intended to assist with identification and documentation of risks by providing a common vocabulary that facilitates knowledge sharing and interoperability between actors in the AI value chain. VAIR provides semantic specifications for cataloguing AI risks in a FAIR (Findable, Accessible, Interoperable, Reusable) manner.

Trustworthy AI Requriements Ontology

https://tair.adaptcentre.ie

A knowledge graph with a partial extraction of concepts and requirements from the initial draft of the AI Act (Apr’21) that pertain to obligation on the role of AI Providers. This is also mapped to concept extracted from ISO/IEC JTC1 SC42 International Standard on AI terms and concepts and the template for management system standards as prime candidates for the Act’s Harmonised Standards.

GDPR

GDPRtEXT

"GDPRtEXT - GDPR as a Linked Data Resource" - presented at Extended Semantic Web Conference (ESWC 2018)

Access publication

Data Privacy Vocabulary (DPV)

The Data Privacy Vocabulary (DPV) enables machine-readable metadata about the use and processing of personal data based on legislative requirements such as the General Data Protection Regulation (GDPR).

View Data Privacy Vocabulary (DPV)

Publications

1. "To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act’s High-Risk AI Applications and Harmonised Standards". Presented at ACM FAccT 2023.Access here
2. "AIRO: An Ontology for Representing AI Risks Based on the Proposed EU AI Act and ISO Risk Management Standards". Presented at SEMANTiCS 2022. Access here
3. "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". Preseneted at the Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2023). Access here