Active

Transparency

The organization shall ensure transparency in the development, deployment, and operation of AI systems, including clear communication about AI capabilities, limitations, and decision-making processes. Transparency requirements shall include disclosure of AI system purposes, explanation of decision-making processes, and communication of AI system limitations, maintained throughout the AI lifecycle.

Requirement ID
AIG-004-R002
Parent Control
Domain Code

Requirement Details & Guidance

AIG-004-R002 · AIG-004
Why This Requirement Exists

This requirement exists to provide clear information about AI purposes, capabilities, limitations, and decision-making processes, ensuring AI systems are governed, secured, assessed, and operated in a controlled and accountable manner.

Implementation Guidance

Establish and document the process to provide clear information about AI purposes, capabilities, limitations, and decision-making processes. 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-R002 · 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
          COBIT2019 COBIT COBIT is an enterprise governance and management f... Clause: 4.2 – Align, Plan and Organize (APO) > APO01 – Managed I&T Management Framework > APO01.04 – Define and implement the organizational structures. 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 →
          GDPR General Data Protection Regulation (GDPR) The General Data Protection Regulation is a bindin... Clause: Article 22 – Automated individual decision-making, including profiling; Article 13 – Information where personal data are collected from the data subject; Article 14 – Information where personal data have not been obtained from the data subject; Article 25(1) – Data protection by design and by default
          EU
          Regulation
          vCurrent View →
          NIST-CSF NIST Cybersecurity Framework (CSF) The NIST Cybersecurity Framework provides high-lev... Clause: GV.RM – Risk Management Strategy | GV.RM-03 – Cybersecurity risk management activities and outcomes are included in enterprise risk management processes ID.RA – Risk Assessment | ID.RA-07 – Changes and exceptions are managed, assessed for risk impact, recorded, and tracked PR.PS – Platform Security | PR.PS-06 – Secure software development practices are integrated, and their performance is monitored throughout the software development life cycle
          NIST
          Framework
          v2 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.