Artificial intelligence (AI) and Machine Learning are two related standardisation priority topics with increasing importance for SMEs. These technologies bring evident opportunities in terms of efficiencies and market intelligence
Cybersecurity — Artificial Intelligence — Guidance for addressing security threats and failures in artificial intelligence systems
30.60 Close of voting/ comment period
Security and privacy in artificial intelligence use cases — Best practices
60.60 Standard published
Artificial Intelligence enabled networking
00.98 Proposal for new project abandoned
Information technology — Artificial intelligence — AI system life cycle processes
60.60 Standard published
Information technology — Artificial intelligence — Guidance for AI applications
60.60 Standard published
Information technology — Artificial intelligence — Reference architecture of knowledge engineering
60.60 Standard published
Information technology — Artificial intelligence — Management system
60.60 Standard published
Artificial intelligence — Functional safety and AI systems
60.60 Standard published
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
50.00 Final text received or FDIS registered for formal approval
Information technology — Artificial intelligence — Objectives and approaches for explainability and interpretability of ML models and AI systems
30.60 Close of voting/ comment period
Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Guidance for quality evaluation of artificial intelligence (AI) systems
60.60 Standard published
Information technology — Artificial intelligence — Data life cycle framework
60.60 Standard published
Information technology — Artificial intelligence — Controllability of automated artificial intelligence systems
00.00 Proposal for new project received
Information technology — Artificial intelligence — Controllability of automated artificial intelligence systems
60.60 Standard published
Road Vehicles — Safety and artificial intelligence
30.99 CD approved for registration as DIS
Telecommunications and information exchange between systems — Artificial intelligence enabled networking
00.00 Proposal for new project received
Intelligent transport systems — Big data and artificial intelligence supporting intelligent transport systems — Use cases
30.99 CD approved for registration as DIS
Information technology — Artificial intelligence — Transparency taxonomy of AI systems
40.20 DIS ballot initiated: 12 weeks
Software and systems engineering — Software testing — Part 11: Testing of AI systems
20.00 New project registered in TC/SC work programme
Standardisation activities covering Artificial Intelligence and Machine learning
According to the World Economic Forum Strategic Intelligence tool, Artificial Intelligence is one of the top global issues. This has been confirmed by the study on Standardisation Priority Areas performed during 2021-2022 by the Standardisation Strategy Consultancy company Knowence for Small Business Standards (SBS).
This page contains an overview of relevant Standardisation activities covering this topic. See also relevant work items at the end of the page.
Standardisation activities in support of Artificial Intelligence and Machine Learning include:
In addition, sector-specific applications and standardisation activities for certain products, services or systems can be of interest for SMEs, such as:
Updated as of April 2022
Related to Artificial Intelligence, here we provide a list of Technical Committees that are currently publishing proyects related to Artificial Intelligence (AI):
ENI-> specifications for a Cognitive Network Management system with the aim to introduce a metric for the optimization and adjustment of the operator experience over time by taking advantage of Artificial Intelligence (AI) techniques like machine learning and reasoning. We focus on improving the operator experience to more quickly recognize and incorporate new and changed knowledge, and hence, make actionable decisions, in day-to-day-operations.
Smart M2M-> produce the specifications to enable users to build platforms by which devices and services can be connected, regardless of the underlying technology used.
Our work enables connected devices to exchange information through SAREF, our smart applications reference ontology that runs with oneM2M-compliant communication platforms. With SAREF, SmartM2M is promoting oneM2M Base Ontology with extensions in many IoT domains.
SAI-> Artificial Intelligence impacts our lives every day, from local AI systems on our mobile phones suggesting the next word in our sentences to large manufacturers using AI to improve industrial processes. AI has the potential to revolutionize our interactions with technology, improve our quality of life and enrich security – but without high quality technical standards, AI has the potential to create new attacks and worsen security.
INT AFI-> produce test purposes, test descriptions, and TTCN-3 test cases to enable interoperability testing of the core network elements and covering the single-network, interconnect and roaming scenarios. Use Cases and requirements specified by ETSI for Automated and Autonomic Management and Control (self- management) of Networks and Services are tested via “industry standards-anchored” Proof of Concepts (PoC) events.
eHEALTH-> committed to the creation of a technical standards-based market for health. It will promote a climate of innovation, underpinned by technical standards to ensure interoperability, efficiency, security, privacy and safety in the provision of health services worldwide.
And here we provide the proyects that have been published by the TC´s above:
DEG/eHEALTH-0016 eHEALTH; The role of AI in eHealth Early draft (2023-06-22) eHEALTH artificial intelligenceethicsprivacySECURITY Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=67460
DGR/ENI-0024_Met_autonomicity Early draft (2021-05-18) ENI artificial intelligencecategorizationNETWORK Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=62585
DGR/ENI-0025_Int_Policy_proces Early draft (2023-08-08) ENI artificial intelligenceNETWORK Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=62586
DGR/SAI-0010 Final draft for approval (2023-08-25) SAI artificial intelligenceCyber Security Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=63960
DGR/SAI-0012 Securing Artificial Intelligence (SAI); Collaborative Artificial Intelligence Stable draft (2023-06-21) SAI artificial intelligenceModeltrust Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=65121
DGR/SAI-008 Stable draft (2023-05-03) SAI artificial intelligenceintelligent mobilityintelligent transportationprivacy Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=63499
DGS/ENI-0030v411_Trans_Arch Early draft (2023-06-11) ENI artificial intelligenceCognitionLanguagepolicy management Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=63943
DMI/SmartM2M-123169 WI proposed to TB (2021-06-14) SmartM2M artificial intelligenceIoToneM2MontologySAREF Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=63077
DTR/INT-009001 Stable draft (2022-07-30) INT AFI 5Gartificial intelligenceAutonomic NetworkingCyber SecurityEnhanced Mobile BroadbandIPv6SECURITYSelf-Management Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=63527
DTR/SmartM2M-103827 Final draft for approval (2023-08-11) SmartM2M artificial intelligenceIoToneM2MontologySAREF Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=63114
DTS/SmartM2M-103826 TB adoption of WI (2021-06-14) SmartM2M artificial intelligenceIoToneM2MontologySAREF Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=63075
RGR/ENI-0010v121_AI_App_Net Early draft (2022-09-08) ENI artificial intelligencecategorizationNETWORK Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=63118
RGS/ENI-001v411_Use_Cases Experiential Networked Intelligence (ENI); ENI Use Cases Start of work (2023-06-08) ENI artificial intelligenceMANAGEMENTNETWORKuse case Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=68622
RGS/ENI-002v411_Requirements Experiential Networked Intelligence (ENI); ENI Requirements Start of work (2023-06-08) ENI artificial intelligenceMANAGEMENTNETWORKRequirements Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=68623
RGS/ENI-005v411_Sys_Arch Experiential Networked Intelligence (ENI); ENI System Architecture Start of work (2023-06-19) ENI APIARCHITECTUREartificial intelligenceclosed control loopCognitionfunctional architectureintent managementMANAGEMENTmodel-driven engineeringNETWORKpolicy management Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=68751
RGS/ENI-009v411_Data_Mechanism Experiential Networked Intelligence (ENI); Definition of data processing mechanisms Start of work (2023-06-08) ENI artificial intelligencedata collectiondata managementdata mechanismdata processingdata storagenetwork management Artificial Intelligence https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=68620
