Active

Continuous Improvement

The organization shall establish a continuous improvement process for responsible AI management, driving ongoing enhancement of responsible AI practices. The process shall include mechanisms for identifying improvement opportunities, implementing changes, and measuring results, drawing inputs from responsible AI reviews, stakeholder feedback, and best practice benchmarking.

Requirement ID
AIG-004-R010
Parent Control
Domain Code

Requirement Details & Guidance

AIG-004-R010 · AIG-004
Why This Requirement Exists

This requirement exists to continuously improve AI governance using reviews, regulatory changes, incidents, and benchmarking, ensuring AI systems are governed, secured, assessed, and operated in a controlled and accountable manner.

Implementation Guidance

Establish and document the process to continuously improve AI governance using reviews, regulatory changes, incidents, and benchmarking. Define accountable roles, scope, required inputs and outputs, assessment or approval criteria, decision thresholds, review frequency, monitoring, reporting, exception handling, evidence requirements, and escalation paths. Apply the process across the AI lifecycle and integrate it with information security, privacy, risk, compliance, change management, incident management, and business governance as applicable.

Practical Application & Audit Readiness

AIG-004-R010 · Field Guidance

Business Examples

    Common Audit Findings

      Common Mistakes

        Best Practices & Ownership

        AIG-004 · Recommended Approach

        Recommended Practices

          Typical Owner

          Cross-Mapped Regulatory Frameworks

          Harmonized Control Mappings
          FRAMEWORK CODE FRAMEWORK NAME & DETAILS FAMILY / CATEGORY VERSION ACTION
          ISO27001 ISO/IEC 27001 ISO/IEC 27001 specifies auditable requirements for... Clause: 10.1 – Continual improvement
          ISO
          Standard
          v2022 View →
          COBIT2019 COBIT COBIT is an enterprise governance and management f... Clause: 4.2 – Align, Plan and Organize (APO) > APO13 – Managed Security > APO13.02 – Define and manage an information security and privacy risk treatment plan.
          COBIT
          Governance Framework
          v2019 View →
          NIST-CSF NIST Cybersecurity Framework (CSF) The NIST Cybersecurity Framework provides high-lev... Clause: ID.IM – Improvement | ID.IM-03 – Improvements are identified from execution of operational processes, procedures, and activities ID.IM – Improvement | ID.IM-01 – Improvements are identified from evaluations
          NIST
          Framework
          v2 View →
          NIST80053 NIST SP 800-53 NIST SP 800-53 Rev. 5 presents control families, i... Clause: 3.13 – PROGRAM MANAGEMENT, 3.4 – ASSESSMENT, AUTHORIZATION, AND MONITORING; PM-6 – MEASURES OF PERFORMANCE, CA-7 – CONTINUOUS MONITORING
          NIST
          Control Catalog
          vRev. 5 View →
          SOC2 SOC 2 Trust Services Criteria SOC 2 is an independent examination and reporting... Clause: CC4.1 – Monitoring of Controls – COSO Principle 16: The entity selects, develops, and performs ongoing and/or separate evaluations to ascertain whether the components of internal control are present and functioning. CC4.2 – Monitoring of Controls – COSO Principle 17: The entity evaluates and communicates internal control deficiencies in a timely manner to those parties responsible for taking corrective action, including senior management and the board of directors, as appropriate.
          AICPA
          Audit Framework
          vLatest View →

          Parent Domain Context

          Governance Domain Baseline
          Domain Name:
          AI Governance & Model Security (AIG)
          Purpose:
          To ensure the trustworthy, secure, and ethical development and deployment of AI.
          Scope:
          Enterprise

          Parent Control Context

          Control Baseline
          Control Name:
          Responsible AI Management (AIG-004)
          Summary:
          Establishes responsible AI including principles, transparency, explainability, fairness, bias management, human oversight, ethical AI, accountability, review, and continuous improvement.
          Business Description:
          Establish and maintain controls to ensure Artificial Intelligence systems operate transparently, fairly, ethically, explainably, and under appropriate human oversight while respecting legal and societal expectations.