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ISO

ISO/IEC 22989

Information technology — Artificial intelligence — Artificial intelligence concepts and terminology

Source: https://www.iso.org/standard/74296.html

Objective

Its main objective is to establish common vocabulary and definitions of terms used in the context of artificial intelligence (AI):

  • Basic definitions related to AI: e.g., “AI system,” “model,” “algorithm,” “machine learning,”
  • Data-related concepts: training data, test data, validation data, dataset,
  • Terms related to machine learning and neural networks: supervised learning, unsupervised learning, transfer learning.

ISO/IEC 23053

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

Source: https://www.iso.org/standard/74438.html

Objective:
Provides a framework for designing, implementing, and maintaining AI systems that use machine learning, focusing on reproducibility, reliability, and effective governance of ML models.

ISO/IEC TR 24028

Information technology — Artificial intelligence — Overview of trustworthiness in AI

Source: https://www.iso.org/standard/77608.html

Objective:
Describes trustworthiness concepts in AI, including reliability, safety, security, privacy, and ethical considerations.

ISO/IEC 27090

Cybersecurity — Artificial Intelligence — Guidance for addressing security threats and compromises to artificial intelligence systems

** Source:** https://www.iso.org/standard/56581.html

Objective: Provide information to organizations to help them better understand the consequences of security threats specific to AI systems, throughout their life cycle, and descriptions of how to detect and mitigate such threats.

ISO/IEC 42001

Information technology — Artificial intelligence — Management system

Source: https://www.iso.org/standard/42001

Objective:
Provides requirements and guidance for AI management systems, helping organizations manage AI applications responsibly and effectively.

ISO/IEC 38507

Information technology — Governance of IT — Governance implications of AI for organizations

Source: https://www.iso.org/standard/56641.html

Objective:
Guides organizations on IT governance related to AI adoption, ensuring that AI use aligns with business objectives, risk management, and ethical standards.

ISO/IEC 5259

Artificial intelligence — Data quality for analytics and machine learning (ML)

ISO/IEC TS 42119

Artificial intelligence — Testing of AI

Under development