ASEAN Guide on AI Governance and Ethics
Operations Management

ASEAN Guide on AI Governance and Ethics AIGE-OM-3: Bias identification and mitigation

Identify and mitigate types of bias (representation, societal, labelling, measurement, activity, proxy) through dataset design, labelling quality assurance, and regular bias evaluation.

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

What else in your programme already covers this

This control maps to 5 controls across 3 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 42001:2023 · 1 control

  • A.5.4 Assessing AI system impact on individuals or groups of individuals

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

  • AIRMF-MS-2.11 Fairness and bias as identified in the MAP function is evaluated and results are documented

Singapore AI Governance Framework · 1 control

  • AIGF-3.1 Minimising Bias in Data

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 Operations Management

Query this from an agent

The graph holds this control, the 5 it maps to, and the evidence behind each claim, over MCP and REST.

MCP endpointAll ASEAN Guide on AI Governance and Ethics controls