ISO/IEC JTC 1/SC 42


ISO/IEC JTC 1/SC 42 Artificial Intelligence is a standardization subcommittee of the Joint Technical Committee ISO/IEC JTC 1 of the International Organization for Standardization and the International Electrotechnical Commission. ISO/IEC JTC 1/SC 42 develops and facilitates the development of international standards, technical reports, and technical specifications within the fields of Artificial Intelligence. The international secretariat of ISO/IEC JTC 1/SC 42 is the American National Standards Institute, located in the United States of America. The Chair of SC 42 is Wael William Diab. The first meeting of the committee took place in Beijing, China in April 2018. SC 42 meets face-to-face twice a year in an opening and closing plenary format with its subgroups meeting concurrently during the week. SC 42 organizes bi-annual AI workshops that target all stakeholders interested in AI and the committee's work.

History

At the 32nd ISO/IEC JTC 1 Plenary in Vladivostok, Russia, Resolution 12 established SC 42 as a system integration entity for Artificial Intelligence. The resolution also appointed Mr. Wael William Diab as Chair of the SC and Ms. Heather Benko was appointed as the Committee Manager. The inaugural meeting was held in Beijing, China on April 18th – 20th.

Scope

The scope of ISO/IEC JTC 1/SC 42 is:
ISO/IEC JTC 1/SC 42 is set up as a Systems Integration Entity.

Members

Membership in SC 42 is open to any national body. A member can be either participating or observing. The current list of countries active in SC 42 include:
39 p-members: Australia, Austria, Azerbaijan, Belgium, Canada, China, Cyprus, Democratic Republic of the Congo, Denmark, Egypt, Finland, France, Germany, India, Ireland, Israel, Italy, Japan, Kazakhstan, Korea, Republic of, Luxembourg, Malaysia, Malta, Netherlands, Norway, Philippines, Portugal, Russian Federation, Rwanda, Saudi Arabia, Singapore, Slovakia, Spain, Sweden, Switzerland, Turkey, Uganda, United Kingdom, United States, Zimbabwe.
25 o-members

Structure

ISO/IEC JTC 1/SC 42 is currently made up of five working groups, each of which carries out specific tasks in standards development within the field of Artificial Intelligence. The working groups, study groups, and advisory group of ISO/IEC JTC 1/SC 42 are:
Working GroupTitleConvenor
WG 1Foundational standardsPaul Cotton
WG 2Big DataDavid Boyd
WG 3TrustworthinessDavid Filip
WG 4Use cases and applicationsFumihiro Maruyama
WG 5Computational approaches and characteristics of artificial intelligence systemsNing Sun

The subcommittee also administers a number of Joint Work Groups with other subcommittees:
Working GroupTitleConvenor
JWG 2With ISO/IEC JTC 1/SC 7: Testing of AI-based systemsAdam Leon Smith and Stuart Reid
JWG 3With ISO/TC 215 WG: AI enabled health informaticsShushaku Tsumoto
JWG 4With IEC/TC 65/SC 65A: Functional safety and AI systemsRiccardo Mariani

Collaborations

ISO/IEC JTC 1/SC 42 works in close collaboration with a number of other organizations or subcommittees, both internal and external to ISO and IEC. Organizations internal to ISO or IEC that collaborate with or are in liaison to SC 42 include:
JTC 1 Committees and Groups
ISO Committees
IEC Committees
  • IEC SyC Smart Cities
  • IEC SyC Active Assisted Living
  • IEC SyC Smart Manufacturing
  • IEC/TC 45A Instrumentation, control and electrical power systems of nuclear facilities
  • IEC/TC 56 Dependability
  • IEC/TC 62 Medical equipment, software, and systems
  • IEC/TC 65 Industrial-process measurement, control and automation
  • IEC/TC 65A System aspects
  • IEC/TC 100 Audio, video and multimedia systems and equipment
Organizations external to ISO or IEC that collaborate with or are in liaison with SC 42 include:
Category A Liaisons
ISO/IEC also collaborates with CEN/CENELEC through the Vienna Agreement, specifically with CEN/CENELEC JTC 21, charged with writing standards to support the EU's Artificial Intelligence Act.

Standards

ISO/IEC JTC 1/SC 42 currently has published a number of standards, as well as various other standards or technical reports under development within the field of artificial intelligence. These include:
ISO/IEC StandardTitleStatus
ISO/IEC 5259-1ISO/IEC 5259-1: Data quality for analytics and machine learning — Part 1: Overview, terminology, and examplesPublished
ISO/IEC 5259-3ISO/IEC 5259-3: Data quality for analytics and machine learning — Part 3: Data quality management requirements and guidelinesPublished
ISO/IEC 5259-4ISO/IEC 5259-4: Data quality for analytics and machine learning — Part 4: Data quality process frameworkPublished
ISO/IEC 8183ISO/IEC 8183: Data life cycle frameworkPublished
ISO/IEC TS 8200ISO/IEC TS 8200: Controllability of automated AI systemsPublished
ISO/IEC 17903ISO/IEC 17903: Overview of machine learning computing devicesPublished
ISO/IEC 20546ISO/IEC 20547-1: Big data -- Overview and vocabularyPublished
ISO/IEC 20547-1ISO/IEC 20547-1: Big data reference architecture -- Part 1: Framework and application processPublished
ISO/IEC 20547-2ISO/IEC TR 20547-2:2018 : Big data reference architecture -- Part 2: Use cases and derived requirementsPublished
ISO/IEC 20547-3ISO/IEC 20547-3: Big data reference architecture -- Part 3: Reference architecturePublished
ISO/IEC 20547-5ISO/IEC TR 20547-5:2018: Big data reference architecture -- Part 5: Standards roadmapPublished
ISO/IEC 20546ISO/IEC 20546: Big data -- Overview and vocabularyPublished
ISO/IEC 22989ISO/IEC 22989: Artificial Intelligence Concepts and TerminologyPublished
ISO/IEC 23053ISO/IEC 23053: Framework for Artificial Intelligence Systems Using Machine Learning Published
ISO/IEC 23894ISO/IEC 23894: Artificial intelligence - Guidance on risk managementPublished
ISO/IEC TR 24027ISO/IEC TR 24027: Bias in AI systems and AI aided decision makingPublished
ISO/IEC TR 24028ISO/IEC TR 24028: Overview of trustworthiness in artificial intelligencePublished
ISO/IEC TR 24368ISO/IEC TR 24368: Overview of ethical and societal concernsPublished
ISO/IEC 24668ISO/IEC 24668: Process management framework for big data analyticsPublished
ISO/IEC TS 4213ISO/IEC TS 4213: Assessment of Machine Learning Classification PerformancePublished
ISO/IEC 24029-1ISO/IEC TR 24029-1: Assessment of the robustness of neural networks — Part 1: OverviewPublished
ISO/IEC 24029-2ISO/IEC 24029-2: Assessment of the robustness of neural networks — Part 2: Methodology for the use of formal methodsPublished
ISO/IEC 24030ISO/IEC 24030: AI use casesPublished
ISO/IEC TS 25058ISO/IEC TS 25058: Systems and software Quality Requirements and Evaluation - Guidance for quality evaluation of AI systemsPublished
ISO/IEC 25059ISO/IEC 25059: Systems and software Quality Requirements and Evaluation - Quality model for AI systemsPublished
ISO/IEC 42001ISO/IEC 42001: AI management systemPublished
ISO/IEC 5338ISO/IEC 5338: AI system life cycle processesPublished
ISO/IEC 5339ISO/IEC 5339: Guidance for AI applicationsPublished
ISO/IEC 5392ISO/IEC 5392: Reference architecture of knowledge engineeringPublished
ISO/IEC 5469ISO/IEC 5469: Functional safety and AI systemsPublished

Awards

In 2023, the ISO/IEC JTC 1/SC 42 has won ISO's Lawrence D. Eicher Award.