Information technology — Artificial intelligence (AI) — Bias in AI systems and AI aided decision making
ISO/IEC TR 24027:2021 is a technical report that addresses bias in relation to artificial intelligence systems, with a particular focus on AI-aided decision-making. It describes measurement techniques and methods for assessing bias to address and treat bias-related vulnerabilities across all phases of the AI system lifecycle. The document covers phases including data collection, training, continual learning, design, testing, evaluation, and use.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This document is for AI developers, deployers, and researchers seeking guidance on measuring and assessing bias in AI systems.
What the document contains
The document covers bias in AI systems and AI-aided decision-making, detailing measurement techniques and assessment methods designed to address bias vulnerabilities throughout every phase of the AI lifecycle.
The text preview does not provide specific legal enforcement mechanisms, detailed definitions of individual bias metrics, or sector-specific guidelines.
- This technical report addresses bias in AI systems and AI-aided decision making.
- It describes measurement techniques and assessment methods to treat bias-related vulnerabilities.
- All phases of the AI system lifecycle are within the scope of the document.
- The lifecycle phases covered include data collection, training, continual learning, design, testing, evaluation, and use.
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
Abstract
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
This document addresses bias in relation to AI systems, especially with regards to AI-aided decision-making.
Abstract
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
Abstract
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
Abstract
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
Abstract
screening score · 2026-10-23
Transparency
0/5Openness about how AI systems work and are used
Abstract
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Abstract
screening score · 2026-10-23
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
Measurement techniques and methods for assessing bias are described, with the aim to address and treat bias-related vulnerabilities.
Abstract
screening score · 2026-10-23