Vertical Standardisation for High-Risk AI Systems under the EU AI Act: A Domain-Specific Framework for Algorithmic Hiring
According to the recent European legislation, high-risk AI systems will have to adapt in order to comply with requirements related to specific areas, like risk management, data quality and governance, logging and traceability, technical documentation, transparency, human oversight, and accuracy, as outlined in the European Artificial Intelligence (AI) Act. As the standardisation process for AI is expected to remain iterative and, so far, there are no European standards on AI fully covering the c
Record details
Published: 14 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Transparency
Retrieved: 15 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Traccia: An OpenTelemetry-Based Governance Platform for AI Systems
arXiv · 15 July 2026
Post-Deployment Accountability in AI Governance: A Cross-Regulatory Empirical Analysis of AI Incidents
arXiv cs.CY · 16 July 2026
Traccia: An OpenTelemetry-Based Governance Platform for AI Systems
arXiv cs.CY · 17 July 2026
AI Watermark Evidence Fails Forensic Readiness: An Empirical Evaluation
arXiv · 17 July 2026
AI Watermark Evidence Fails Forensic Readiness: An Empirical Evaluation
arXiv cs.CY · 20 July 2026
Auditable Machine Unlearning for Privacy-Compliant Ransomware Detection Using Multi-Shard SISA and Deep Reinforcement Learning
arXiv cs.CR (AI security) · 7 July 2026
How to cite this record
ethics.ai (14 July 2026), “Vertical Standardisation for High-Risk AI Systems under the EU AI Act: A Domain-Specific Framework for Algorithmic Hiring,” evidence record 10344, https://ethics.ai/record/10344 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.