ISO/IEC 23053:2022 Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
ISO/IEC 23053:2022 provides a conceptual framework and shared terminology for describing artificial intelligence systems that use machine learning. It defines the components and functions of machine learning-based AI systems within the broader AI ecosystem to offer clarity on operations and interactions. The standard is designed for technical experts and non-specialists seeking to understand machine learning systems in a structured and consistent way.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Organisations and technical or non-technical stakeholders designing, developing, deploying, or evaluating AI systems using machine learning.
What the document contains
The document covers a unified vocabulary, conceptual framework, and system models for artificial intelligence systems utilizing machine learning. It details components, functions, and interactions within the machine learning ecosystem.
The text does not provide specific enforcement mechanisms, binding legal obligations, or detailed risk management procedures.
- ISO/IEC 23053:2022 establishes a conceptual framework and shared terminology for AI systems using machine learning.
- The standard defines components and functions of machine learning-based AI systems to reduce confusion and miscommunication.
- It supports collaboration across teams and organizations by enhancing transparency and understanding of system components.
- Deep learning is explicitly addressed as a subset of machine learning within the framework.
- The standard lays the foundational terminology and models to facilitate more specific standards for risk management, governance, and conformity assessment.
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
General information
screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
General information
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
General information
screening score · 2026-10-23
Human Oversight
1/5Humans remain in control of consequential decisions
lay the groundwork for responsible design, implementation and oversight of AI technologies
Why is ISO/IEC 23053 important?
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
General information
screening score · 2026-10-23
Transparency
2/5Openness about how AI systems work and are used
Enhances transparency and understanding of AI system components
Benefits
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
General information
screening score · 2026-10-23
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
General information
screening score · 2026-10-23