+AI & Autonomous Technologies Registration

AI & Autonomous Technologies Registration

Description

Mechanisms exist to maintain a current registration for Artificial Intelligence (AI) and Autonomous Technologies (AAT) with the appropriate governing body, as required by statutory or regulatory requirements.

Possible Solutions & Considerations

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

∙ Determine whether any AI use requires registration (e.g., EU AI Act high-risk systems)

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

∙ Track AI registration obligations by jurisdiction in compliance checklist

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

∙ Register high-risk AI systems with relevant authorities as required

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

∙ AI registration compliance program
∙ Track registration requirements by jurisdiction

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

∙ Enterprise AI regulatory compliance platform
∙ Automated registration tracking
∙ EU AI Act database registration compliance

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.
▪ AAT is regarded as a technology and governed by the entity's existing IT governance practices.
▪ No formal Governance, Risk & Compliance (GRC) team exists to provide oversight of AAT-related activities. GRC functions are assigned to existing IT and/or cybersecurity personnel.

Level 3 Well Defined

Compliance (CPL) 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 CPL 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 CPL domain capabilities are well-documented and kept current by process owners.
▪ A Governance, Risk & Compliance (GRC) team, or similar function, is appropriately staffed and supported to implement and maintain CPL domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of governance, risk management and compliance operations (e.g., GRC 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 CPL 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 maintain a current registration for AAT with the appropriate governing body, as required by statutory or regulatory requirements.

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.

1. Prezentare generală

1.1 Referințe

1.2 Cerințe identificate

1.3 Reglementări asociate

2. Cerințe identificate

Cerințe

3. Reglementări asociate

Reglementări
EULAW Articolul 16 Obligațiile furnizorilor de sisteme de IA cu grad ridicat de risc

Articolul 16

Obligațiile furnizorilor de sisteme de IA cu grad ridicat de risc

Furnizorii de sisteme de IA cu grad ridicat de risc:

(a) 

se asigură că sistemele lor de IA cu grad ridicat de risc respectă cerințele prevăzute în secțiunea 2;

(b) 

indică pe sistemul de IA cu grad ridicat de risc sau, în cazul în care acest lucru nu este posibil, pe ambalaj sau în documentele care îl însoțesc, după caz, numele lor, denumirea lor comercială înregistrată sau marca lor înregistrată, adresa la care pot fi contactați;

(c) 

dispun de un sistem de management al calității în conformitate cu articolul 17;

(d) 

păstrează documentația menționată la articolul 18;

(e) 

atunci când acestea se află sub controlul lor, păstrează fișierele de jurnalizare generate automat de sistemele lor de IA cu grad ridicat de risc menționate la articolul 19;

(f) 

se asigură că sistemul de IA cu grad ridicat de risc este supus procedurii relevante de evaluare a conformității menționată la articolul 43, înainte de introducerea sa pe piață sau de punerea sa în funcțiune;

(g) 

elaborează o declarație de conformitate UE în conformitate cu articolul 47;

(h) 

aplică marcajul CE pe sistemul de IA cu grad ridicat de risc sau, în cazul în care acest lucru nu este posibil, pe ambalajul sau în documentația sa însoțitoare, pentru a indica conformitatea cu prezentul regulament, în conformitate cu articolul 48;

(i) 

respectă obligațiile de înregistrare menționate la articolul 49 alineatul (1);

(j) 

iau măsurile corective necesare și furnizează informațiile prevăzute la articolul 20;

(k) 

la cererea motivată a unei autorități naționale competente, demonstrează conformitatea sistemului de IA cu grad ridicat de risc cu cerințele prevăzute în secțiunea 2;

(l) 

se asigură că sistemul de IA cu grad ridicat de risc respectă cerințele de accesibilitate, în conformitate cu Directivele (UE) 2016/2102 și (UE) 2019/882.
EULAW Articolul 22 Reprezentanții autorizați ai furnizorilor de sisteme de IA cu grad ridicat de risc
EULAW Articolul 26 Obligațiile implementatorilor de sisteme de IA cu grad ridicat de risc
EULAW Articolul 49 Înregistrare
EULAW Articolul 49 Înregistrare
EULAW Articolul 49 Înregistrare
EULAW Articolul 52 Procedură
EULAW Articolul 52 Procedură

Tichete legate

Legături
is related to Semi-Annual
is related to relative Control Weighting = 04
is related to Process
is related to Protect
is related to SCRM Focus Tier 2 OPERATIONAL
is related to SCRM Focus Tier 3 TACTICAL
blocks Revenue Loss
blocks Contractual Default / Termination
blocks Reputational Harm / Loss of Stakeholder Trust
blocks Regulatory / Legal / Contractual Financial Liability
blocks Failure to Achieve Strategic / Mission Objectives
blocks Loss of Authorization / Certification / License
blocks Failure to Support Business / Mission Objectives
blocks Unaddressed Security / Compliance Exposure
blocks Unperformed / Unowned Control Responsibilities
blocks Inability to Demonstrate Due Diligence / Due Care
blocks Unreliable Assurance / Decision Information
blocks Sensitive Data / Compliance Exposure from Unsanctioned AI Use
blocks Drought & Water Shortage
blocks Earthquakes
blocks Fire & Wildfires
blocks Floods
blocks Hurricanes & Tropical Storms
blocks Landslides & Debris Flow
blocks Pandemic (Disease) Outbreaks
blocks Severe Weather
blocks Space Weather
blocks Thunderstorms & Lightning
blocks Tornadoes
blocks Tsunamis
blocks Volcanoes
blocks Winter Storms & Extreme Cold
blocks Dysfunctional Management Practices
blocks Human Error
blocks Statutory / Regulatory / Contractual Change
blocks Data Quality Degradation / Data Poisoning
blocks Fraud, Corruption and/or Intentional Criminal Conduct
blocks Conflict of Interest (COI) / Undue Influence / Insider Misconduct
blocks Geopolitical Conflict / Government Intervention
blocks Workforce Shortage / Loss of Critical Skills / Labor Disruption
is blocked by CPL-28 AI & Autonomous Technologies Registration – Assessment Procedure
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