+4 straipsnis Raštingumas DI srityje
---+4 straipsnis 1.
---+4 straipsnis 2.
---+4 straipsnis 3.

4 straipsnis Raštingumas DI srityje

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1. Apžvalga

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4 straipsnis 1.
DI sistemų tiekėjai ir diegėjai imasi priemonių, kad padėtų ugdyti savo darbuotojų ir kitų asmenų, dirbančių DI sistemų veikimo ir naudojimo jų vardu srityje, raštingumą DI srityje, atsižvelgdami į jų technines žinias, patirtį, išsilavinimą bei pasirengimą ir kontekstą, kuriame tos DI sistemos numatomos naudoti, ir atsižvelgdami į asmenis ar asmenų grupes, kurių atžvilgiu tos DI sistemos numatomos naudoti. Pagal šią pareigą tiekėjai ar diegėjai neprivalo garantuoti bet kurio asmens konkretaus raštingumo DI srityje lygio.
4 straipsnis 2.
Komisija ir valstybės narės remia ir palengvina DI sistemų tiekėjų ir diegėjų, visų pirma MVĮ, pastangas vykdyti šio straipsnio 1 dalyje nustatytą jiems tenkančią pareigą. Tuo tikslu Komisija 62 straipsnio 3 dalies b punkte nurodytoje bendroje informacinėje platformoje skelbia praktinius pavyzdžius, kaip vykdyti tas pareigas.
4 straipsnis 3.
Valdyba, atsižvelgdama į Europos kompetencijos sistemas, priima rekomendacijas, kuriomis siekiama padėti Komisijai ir valstybėms narėms skatinti raštingumą DI srityje, kurio reikalaujama pagal 1 dalį, be kita ko, nustatant bendrus tikslus.

1.1 Nuorodos

1.2 Nustatyti reikalavimai

1.3 Susiję standartai

2. Nustatyti reikalavimai

Reikalavimai

3. Susiję standartai

Standartai
SCF AI & Autonomous Technologies Stakeholder Competencies

Description

Mechanisms exist to ensure Artificial Intelligence (AI) and Autonomous Technologies (AAT)-related operator and practitioner proficiency requirements for AAT are defined, assessed and documented.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Artificial Intelligence (AI) / autonomous technologies governance program

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Artificial Intelligence (AI) / autonomous technologies governance program

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Artificial Intelligence (AI) / autonomous technologies governance program

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ Artificial Intelligence (AI) / autonomous technologies governance program

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Artificial Intelligence (AI) / autonomous technologies governance program

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

Artificial Intelligence and Autonomous Technology (AAT) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include:
▪ Policies, standards & procedures associated with AAT domain capabilities provide limited coverage due to the depth and breadth of the existing documentation.
▪ AAT-related processes are expected to follow the organization's existing processes (e.g., incident response, asset management, change control and risk assessments).
▪ No formal Governance, Risk & Compliance (GRC) team exists to provide AAT oversight, where the Chief Information Officer (CIO), or similar function, governs technology decisions what is acceptable for AAT within the organization.

Level 2 Planned Tracked

Artificial Intelligence and Autonomous Technology (AAT) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Artificial Intelligence and Autonomous Technology (AAT) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with AAT domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with AAT domain capabilities are well-documented and kept current by process owners.
▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with AAT domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ An implemented and operational capability exists to ensure AAT-related operator and practitioner proficiency requirements for AAT are defined, assessed and documented.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.