9 citations · 16 across the 9 of their papers we have counts for
12 papers
AI Risk Ontologies for the EU AI Act Compliance: AIRO, VAIR, and their Integration with DPV
Delaram Golpayegani, Harshvardhan J. Pandit, Declan O'Sullivan +1
As the use of AI, and consequently its harms, becomes more prevalent, the global discourse around AI has become increasingly risk-aware. With new risks emerging more frequently tha…
What Does AI Success Look Like? A Mixed-Methods Analysis of Supranational AI Governance Instruments
Delaram Golpayegani, Marta Lasek-Markey, Monique Munarini +3
In the last decade and in particular since 2018, supranational institutions have published policies, guidelines, and most recently regulations to govern development and use of Arti…
A Reusable Semantic Web Framework for Evidence-Grounded Fundamental Rights Impact Assessments under the EU AI Act
Faith Olopade, Delaram Golpayegani, David Lewis
The EU AI Act (Art. 27) requires deployers of high-risk AI systems to conduct Fundamental Rights Impact Assessments (FRIAs) before deployment, yet the evidence needed for credible…
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
Alexander K. Saeri, Jess Graham, Michael Noetel +185
Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritizat…
Uncovering AI Governance Themes in EU Policies using BERTopic and Thematic Analysis
Delaram Golpayegani, Marta Lasek-Markey, Arjumand Younus +2
The upsurge of policies and guidelines that aim to ensure Artificial Intelligence (AI) systems are safe and trustworthy has led to a fragmented landscape of AI governance. The Euro…
Mapping the Regulatory Learning Space for the EU AI Act
Dave Lewis, Marta Lasek-Markey, Delaram Golpayegani +1
The EU AI Act represents the world's first transnational AI regulation with concrete enforcement measures. It builds on existing EU mechanisms for regulating health and safety of p…
ADAPT Centre Contribution on Implementation of the EU AI Act and Fundamental Right Protection
Dave Lewis, Marta Lasek-Markey, Harshvardhan J. Pandit +6
This document represents the ADAPT Centre's submission to the Irish Department of Enterprise, Trade and Employment (DETE) regarding the public consultation on implementation of the…
AICat: An AI Cataloguing Approach to Support the EU AI Act
Delaram Golpayegani, Harshvardhan J. Pandit, Dave Lewis
The European Union's Artificial Intelligence Act (AI Act) requires providers and deployers of high-risk AI applications to register their systems into the EU database, wherein the…
An Open Knowledge Graph-Based Approach for Mapping Concepts and Requirements between the EU AI Act and International Standards
Julio Hernandez, Delaram Golpayegani, Dave Lewis
The many initiatives on trustworthy AI result in a confusing and multipolar landscape that organizations operating within the fluid and complex international value chains must navi…
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms
Gavin Abercrombie, Djalel Benbouzid, Paolo Giudici +13
This paper introduces a collaborative, human-centred taxonomy of AI, algorithmic and automation harms. We argue that existing taxonomies, while valuable, can be narrow, unclear, ty…
AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act
Delaram Golpayegani, Isabelle Hupont, Cecilia Panigutti +4
With the upcoming enforcement of the EU AI Act, documentation of high-risk AI systems and their risk management information will become a legal requirement playing a pivotal role i…
Data Privacy Vocabulary (DPV) -- Version 2
Harshvardhan J. Pandit, Beatriz Esteves, Georg P. Krog +3
The Data Privacy Vocabulary (DPV), developed by the W3C Data Privacy Vocabularies and Controls Community Group (DPVCG), enables the creation of machine-readable, interoperable, and…