EU AI Act

The AI Office enforces the Act's GPAI rules.

Paper argues GPAI properties undermine classical public-service safety controls that regulations and guidance still presuppose.

The EU AI Act is a key risk-based reference.

Formally grounded ODRL evaluation supports interoperable machine-readable AI/data governance policies in European dataspaces.

Middle-power GPAI mapping includes the EU among twenty jurisdictions along the model-layer accountability chain.

Middle-power GPAI mapping benchmarks national provisions against the accountability chain including EU-style rules.

Dual-use biological capability evaluations by frontier AI companies may become mandatory under high-risk AI provisions of the EU AI Act.

Aviation certification structural requirements analysis provides a template for strengthening AI governance document standards like those required under the EU AI Act.

EU Digital Omnibus governance challenges interact with and complicate AI Act implementation.

The AI Resilience Framework paper identifies a gap between the EU AI Act's trustworthy AI stack and operational resilience obligations.

Weak practical integration of risk taxonomies matters for regulators who need actionable structured risk accounts under regimes like the AI Act.

Middle-power GPAI mapping uses the accountability chain themes that the EU AI Act popularized for model-layer governance.

Systemic risk assessment duties under regulation need rigorous quantitative risk-modeling methods the workshop agenda targets.

GovAI-Pipe maps each of its four governance layers to specific provisions of the EU AI Act.

Zero-knowledge proof verification of training compute could provide technical enforcement primitives for AI governance frameworks like the EU AI Act.

Participatory research on responsible AI openness identifies tensions relevant to EU AI Act provisions on open-source model exemptions.

Deployment-time memorization privacy-utility tradeoffs are directly relevant to EU AI Act data protection and deletion requirements.

Industry jailbreak severity scoring frameworks are likely to inform AI Act compliance requirements for GPAI model providers.

Ada Lovelace Institute analysis of private insurance mechanisms frames alternatives to direct regulatory approaches like the EU AI Act.

Private insurance and liability mechanisms are examined as complementary tools alongside regulatory frameworks like the EU AI Act.

Private insurance and liability mechanisms are explored as complements to regulatory frameworks like the EU AI Act.

HaloGuard's multilingual constitutional classifier approach is directly relevant to GPAI safety evaluation requirements under the EU AI Act.

Strategic red teaming as a board-level governance instrument supports compliance with AI Act oversight requirements.

Multilingual safety classifiers like HaloGuard support EU AI Act compliance requirements for GPAI models across EU languages.

Aviation's structural governance requirements are absent from current AI governance documents including the EU AI Act framework.

The AI Resilience Framework paper contrasts operational resilience with the trustworthy-AI stack including the EU AI Act.