This section compiles research publications focused on the ethical, legal, and societal aspects of AI. Topics include algorithmic fairness, data privacy, transparency, and the responsible deployment of AI systems in compliance with emerging policy and regulatory frameworks.

TitleYearDescriptionLink
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act2025This paper introduces COMPL-AI, a framework that translates the EU AI Act into measurable technical requirements for large language models and provides an open-source benchmarking suite to assess model compliance in areas like robustness, safety, and fairness.arXiv
Towards a Privacy and Security-Aware Framework for Ethical AI: Guiding the Development and Assessment of AI Systems2024This paper presents a unified survey of adversarial machine learning attacks and defenses, emphasizing trends, challenges, and practical implications for secure AI deployment.ACM Library
Limitations and Loopholes in the EU AI Act and AI Liability Directives: What This Means for the European Union, the United States, and Beyond2024This article critiques the EU AI Act and AI Liability Directives, highlighting how lobbying led to weakened oversight, overreliance on self-regulation, and gaps in addressing non-material harms like bias and misinformation. Yale University
Three pathways for standardisation and ethical disclosure by default under the European union AI act2024This article surveys adversarial attacks in object recognition, categorizing them by attacker knowledge and capacity, and reviews modern defenses grouped by protection strategies, with discussions on Vision Transformers, evaluation metrics, and applications like autonomous driving.Elsevier
EU Policy and Legal Framework for Artificial Intelligence, Robotics and Related Technologies – The AI Act2023This book provides a comprehensive legal analysis of the European Union’s AI Act, examining its provisions, comparing institutional positions, and exploring the regulatory framework for AI, robotics, and related technologies.Springer
AI research ethics is in its infancy: the EU’s AI Act can make it a grown-up2023This article examines how the European Union’s AI Act can advance AI research ethics by translating abstract principles into concrete obligations, emphasizing the importance of operationalizing ethical frameworks within the AI development lifecycle.Sage Journals
Prohibited artificial intelligence practices in the proposed EU artificial intelligence act (AIA)2023This paper surveys adversarial attacks in object recognition, categorizing them by attacker knowledge and capacity, and reviews modern defenses grouped by protection strategies, with discussions on Vision Transformers, evaluation metrics, and applications like autonomous driving.Elsevier
Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk2023This paper provides a comprehensive survey of adversarial machine learning, focusing on attacks and defenses across the machine learning lifecycle, and introduces a unified framework to understand and compare various attack methods.Wiley Library
The E.U.’s artificial intelligence act: an ordoliberal assessment2023This article critically assesses the European Union’s Artificial Intelligence Act through an ordoliberal lens, highlighting its strengths and weaknesses in promoting a competitive and ethical AI market, and proposing reforms to enhance its regulatory framework.Springer Nature
The European AI liability directives – Critique of a half-hearted approach and lessons for the future2023This article surveys adversarial attacks in object recognition, categorizing them by attacker knowledge and capacity, and reviews modern defenses grouped by protection strategies, with discussions on Vision Transformers, evaluation metrics, and applications like autonomous driving.Elsevier