EU AI Act: How Explainable AI Simplifies Regulatory . . . The EU AIA mandates that high-risk AI systems must provide clear and comprehensible information about their capabilities and limitations, and that their decision-making process should be transparent and traceable
Key Issue 5: Transparency Obligations - EU AI Act The EU AI Act introduces different transparency obligations for the providers and deployers of AI systems These rules can be understood in three dimensions, imposing different sets of obligations depending on the type of AI system or model in question
Artificial Intelligence Explainability Requirements of the AI . . . Explainability in artificial intelligence (AI) is crucial for ensuring transparency, accountability, and risk mitigation, thereby addressing digital responsibility, social, ethical and ecological aspects of information system usage AI will be regulated in the European Union (EU) through the AI Act
AI Explainability Regulatory Readiness | RadarFirst Interested in operationalizing explainable AI in your risk and compliance workflows? Discover how RadarFirst facilitates transparent AI governance in accordance with the EU AI Act and beyond
Explainable AI (XAI) 2024: algorithmic transparency and the . . . Discover how Explainable AI (XAI) is transforming business practices in response to the EU AI Act This article explores the challenges of algorithmic transparency, explainability techniques, and sectoral applications
Metrics, Explainability and the European AI Act Proposal - MDPI To answer this question, with this paper we propose an analysis of the AI Act, aiming to understand (1) what specific explicability obligations are set and who shall comply with them and (2) whether any metric for measuring the degree of compliance of such explanatory documentation could be designed