IJCA Vol 4 i1 2025 webmag - Flipbook - Page 49
2025 | Volume 4, Issue 1
• ISO/IEC TR 24028:2020 – Overview of
Trustworthiness in Arti昀椀cial Intelligence
Provides an overview of factors contributing to the
trustworthiness of AI systems.
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safe, transparent, and respect fundamental rights.
The Act categorizes AI applications based on risk
levels and imposes corresponding obligations.
(Source: ai-watch.ec.europa.eu)
• ISO/IEC TR 24368:2022 – Overview of Ethical and
Asia-Paci昀椀c Economic Cooperation (APEC)
Societal Concerns
Within the Asia-Paci昀椀c region, efforts have been
Addresses ethical and societal issues related to AI made to harmonize AI standards:
deployment.
• APEC Framework for Arti昀椀cial Intelligence –
• ISO/IEC 24029-1:2021 – Assessment of the
Established in 2019
Robustness of Neural Networks — Part 1:
Provides guidelines for AI development and use
Overview
across member economies, with a focus on
Introduces methods for evaluating the robustness
innovation and ethical responsibility.
of neural networks.
National Standards
• ISO/IEC 24029-2:2023 – Assessment of the
United States
Robustness of Neural Networks — Part 2:
The National Institute of Standards and Technology
Methodology for the Use of Formal Methods
(NIST) leads AI standardization efforts in the U.S.
Details formal methodologies for assessing neural
• NIST Special Publication 1270 – Towards a
network robustness.
Standard for Identifying and Managing Bias in
• ISO/IEC 25059:2023 – Systems and Software
Arti昀椀cial Intelligence (2022)
Quality Requirements and Evaluation (SQuaRE) —
Offers a framework to promote fairness and equity
Quality Model for AI Systems
by identifying and managing bias in AI systems.
De昀椀nes quality models speci昀椀c to AI systems.
• NIST AI 100-1 – Arti昀椀cial Intelligence Risk
• ISO/IEC 42001:2023 – Arti昀椀cial Intelligence
Management Framework (AI RMF) 1.0 (2023)
Management System
Provides comprehensive guidelines for managing
Speci昀椀es requirements for an AI management
AI-related risks to enhance trustworthiness.
system within organizations.
• ISO/IEC 5338:2023 – AI System Life Cycle
Processes
Outlines processes for managing the AI system
life cycle.
• ISO/IEC 5339:2024 – Guidance for AI Applications
Provides guidance on the application of AI across
various domains.
• ISO/IEC 5469:2024 – Functional Safety and AI
Systems
Addresses considerations for ensuring functional
safety in AI systems.
These international standards aim to establish a
comprehensive framework for AI development and
governance.
Regional Standards
European Union (EU)
The European Union has been proactive in developing
regulations to govern AI technologies:
• Arti昀椀cial Intelligence Act (AI Act) – Proposed in
2021
A comprehensive regulatory framework aiming
to ensure that AI systems used within the EU are
China
China has also been active in establishing AI
standards:
• Arti昀椀cial Intelligence Standardization White
Paper – Released in 2018
Outlines China's national approach to AI
standardization, emphasizing support for the
development and governance of AI technologies.
Together, these standards provide a foundation
for responsible, transparent, and interoperable
AI applications within metrology and conformity
assessment practices.
