ASEAN Guide on AI Governance and Ethics
Guiding Principles

ASEAN Guide on AI Governance and Ethics AIGE-P6: Accountability and Integrity

Establish clear accountability for AI outcomes with appropriate oversight, integrity of data and systems, and mechanisms to take responsibility for decisions.

Maintained by Gerard BlokdykVerified against the published standard Control text last updated

What else in your programme already covers this

This control maps to 9 controls across 7 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

ISO/IEC 38500:2024 · 2 controls

  • 5.6 Accountability
  • 7.2.7 Accountability

Australia AI Ethics Framework · 1 control

ISO/IEC 42001:2023 · 1 control

  • A.3.2 AI roles and responsibilities

NIST AI Risk Management Framework (AI RMF 1.0) · 1 control

  • AIRMF-GV-2.1 Roles and responsibilities and lines of communication related to mapping, measuring, and managing AI risks are documented and are clear to individuals and teams throughout the organization

OECD AI Principles · 1 control

  • OECDAI-4 Accountability, Lifecycle Coverage, Documentation, and Record-Keeping

OECD Recommendation on Artificial Intelligence (2024 Update) · 1 control

  • OECDAI24-7 Deployer Responsibilities, Agentic AI, and Engagement with Rights Holders

Singapore AI Governance Framework · 1 control

  • AIGF-1.1 Risk Management and Internal Controls

Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.

Other controls in Guiding Principles

Query this from an agent

The graph holds this control, the 9 it maps to, and the evidence behind each claim, over MCP and REST.

MCP endpointAll ASEAN Guide on AI Governance and Ethics controls