TELEPILOT-MAS

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EU AI Act — Compliance Dashboard

Regulation (EU) 2024/1689 — Artificial Intelligence Act

HIGH-RISKAnnex III — Cat. 4(b) Employment7/9 Articles CompliantCE Marking : PENDING

Transparency Notice (Art. 13) : Toutes les prédictions, scores et alertes générés par TELEPILOT-MAS proviennent de modèles d'IA. Ils sont probabilistes par nature et peuvent contenir des erreurs. Un superviseur humain qualifié DOIT examiner toute évaluation avant qu'une décision RH soit prise. Ce système opère en mode consultatif uniquement.

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Art. 9Risk Management SystemCOMPLIANT

6 risks identified, mitigated, documented with continuous review cycle

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Art. 10Data & Data GovernanceCOMPLIANT

600K records, bias assessment, leakage detection, GDPR-aligned data minimisation

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Art. 11Technical DocumentationCOMPLIANT

Full model specifications, version history R1-R4, performance metrics with 95% CI

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Art. 12Record-KeepingCOMPLIANT

Automatic audit logging with SHA-256 input hashing, event tracing, override tracking

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Art. 13TransparencyCOMPLIANT

Transparency notice, known limitations disclosed, right to explanation implemented

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Art. 14Human OversightCOMPLIANT

HITL mode — all predictions advisory only, supervisor override mechanism, emergency stop

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Art. 15Accuracy & RobustnessCOMPLIANT

Bootstrap CI, 4 training rounds, triple verification, concept drift monitoring

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Art. 4AI LiteracyPENDING

Training materials to be deployed before 2 August 2026 deadline

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Art. 49EU Database RegistrationPENDING

Registration to be completed before production deployment

Art. 15 — Model Performance (Round 4, triple-verified)

Fraud Detection
97.20% accuracy
F1=0.786 | AUC=0.829 | CI [0.761, 0.808]
Productivity
98.59% R²
RMSE=0.155 | Leakage-free : R²=0.809
Quality
99.57% accuracy
F1-macro=0.992 | Leakage-free : 72.9%
Legal basis : Regulation (EU) 2024/1689 (Artificial Intelligence Act), entered into force 1 August 2024. High-risk obligations enforceable from 2 August 2026. Classification : Annex III, Category 4(b) — AI systems for monitoring and evaluating worker performance in employment relationships.

Bibliography : European Parliament and Council of the European Union (2024) ; Smuha (2021) ; Veale and Zuiderveen Borgesius (2021) ; Novelli et al. (2024) ; Bolton and Hand (2002) ; Kaufman et al. (2012) ; He and Garcia (2009).