HO-004HoogGebruikerPreventief
Bewustmakingstraining over automatiseringsbias
Artikel 14, lid 4, vereist dat toezichthoudende personen zich bewust zijn van de neiging om te veel te vertrouwen op AI-output (automatiseringsbias); gebruikers moeten training en procedurele controles implementeren om de neiging tot ongekritiseerde acceptatie van AI-beslissingen tegen te gaan.
Artikelen:Article 14(4)(b)Article 4
Bewijs voorbeelden
- Automation bias training record
- Training completion certificates
- Periodic competency re-assessment
Normen
ISO 42001:2023 §7.2ISO/IEC 42001:2023 Annex D
Gerelateerde controles
- HO-001Human Oversight Mechanism DesignArticle 14(1) requires that high-risk AI systems are designed and developed in a way that enables natural persons to effectively oversee the system's…
- HO-002Override and Intervention CapabilityHigh-risk AI systems must include a capability for human overseers to intervene in or interrupt the system's operation, and providers must document this…
- HO-003Stop Function ImplementationProviders must implement a stop function that enables the immediate cessation of the AI system's operation when required by human overseers, with a clear,…
- HO-005Output Interpretation CapabilityDeployers must ensure that persons assigned to oversee high-risk AI systems have the capability to correctly interpret the system's outputs, including the…
- HO-006Decision Reversal and Correction ProcessDeployers must establish documented procedures for reversing or correcting AI-assisted decisions that affect natural persons, including how affected…
- HO-007Oversight Personnel Competency RequirementsProviders must specify in the instructions for use the competencies required for persons assigned to oversee the AI system, and deployers must verify that…
Gerelateerde AI-verordening-begrippen
- Human OversightMeasures built into high-risk AI systems enabling natural persons to understand, monitor, and — where necessary — override or shut down the system. Must be proportionate to the risks and must ensure that deployers can intervene in the system's output before it takes effect.
- Garante per la Protezione dei DatiItaly's data protection authority (DPA), which also acts as a primary oversight body for AI systems involving personal data processing. Remote monitoring of workers in Italy requires INL (National Labour Inspectorate) authorisation or collective agreement under Statuto dei Lavoratori Article 4.
- AI LiteracySkills, knowledge, and understanding that allow providers, deployers, and affected persons to make an informed deployment and use of AI systems and to gain an awareness of the opportunities and risks of AI — required under Article 4 as a universal obligation for all operators across all risk tiers.
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