activity
20242026
most citedEthical AI Governance: Methods for Evaluating Trustworthy AI

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Can Valence Reflect Morality in Natural Language? A Preliminary Annotation Study

Jonny O'Dwyer, Malika Bendechache, Louise McCormack +5

Present implementations of artificial intelligence (AI) ethics do not adequately take feelings, or affect, into account. If AI should be aligned with human ethics, it seems reasona…

cs.CY2025

Trust and Transparency in AI: Industry Voices on Data, Ethics, and Compliance

Louise McCormack, Diletta Huyskes, Dave Lewis +1

The EU Artificial Intelligence (AI) Act directs businesses to assess their AI systems to ensure they are developed in a way that is human-centered and trustworthy. The rapid adopti…

cs.CY2025

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…

cs.CY2024

A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence

Louise McCormack, Malika Bendechache

This paper presents a systematic review of the literature on evaluation criteria for Trustworthy Artificial Intelligence (TAI), with a focus on the seven EU principles of TAI. This…

cs.CY2024★ 1 cited

Ethical AI Governance: Methods for Evaluating Trustworthy AI

Louise McCormack, Malika Bendechache

Trustworthy Artificial Intelligence (TAI) integrates ethics that align with human values, looking at their influence on AI behaviour and decision-making. Primarily dependent on sel…