An Overview of AI Standards and Protocols Develpment from Standards Organisations


This post aims to give an overview of the standards development work that other organisations and groups are carrying out. The majority of the time these groups aim to be in sync with each other not necessarily  duplicating each other work but that does happen though often tweaked to suit the regional or national environment/industry the standard is going the used in or applies to. Often these groups will liaise with each other and member companies will work across multiply groups. There are a couple of cartoon strips which summaries nicely what we want to avoid with standards.

A partial solution to avoiding these problems is how to maintain knowledge of what is going in the worlds of standards and the direction they are moving in. The list below provides a summary and in the future will most likely get longer as standards groups for different industrial sectors turn to tackle the problems and potential of AI.

Standards Organisations

  1. ETSIThey produce globally applicable standards for ICT-enabled systems, applications and services deployed across all sectors of industry and society.
    1. SAI - Role to create standards to secure AI from attack, mitigate against malicious AI and to use AI to enhance existing security measures. 
    2. ZSM - The Zero-touch network and Service Management (ZSM) group were formed with the goal to accelerate the definition of the end-to-end service management architecture, spanning both legacy and virtualised network infrastructure, to enable automatic execution of operational processes and tasks.
    3. ENI - Experiential Networked Intelligence Industry Specification Group (ENI ISG) is defining a Cognitive Network Management architecture, using Artificial Intelligence (AI) techniques and context-aware policies to adjust offered services based on changes in user needs, environmental conditions and business goals.
  2. NIST: It is carrying out fundamental research to measure and enhance the security and explainability of AI systems. This includes guidelines, regulations and standards for societal, ethics, governance and privacy of AI.
  3. ENISAExamining how AI can enhance existing cybersecurity mechanisms and tools. An example of this is AI for Cyber Crisis Management. 
  4. CEN-CENELEC Focus Group AIThe main objective of the Focus Group is to develop an AI standardisation Roadmap for Europe and support the activities of ISO/IEC JTC 1 SC 42, IEC SEG 10 on AI.
  5. ISO/IEC JTC 1 SC 42: They are serving as the focus and proponent for JTC 1's standardisation program on Artificial Intelligence. Provide guidance to JTC 1, IEC, and ISO committees developing Artificial Intelligence applications.
  6. IEC SEG 10 Ethics in autonomous and AI applications
  7. ITU-T SG17: The application and effect of AI within the security of information and communications technologies. 
  8. SAC/TC 260 #AI: A Chinese group they released a White Paper on AI Security Standardisation. It includes the review and analyses on domestic and foreign laws, regulations and standardisation status for AI security.
  9. SAE G-34: Committee for Applied AI in Aviation Systems to help guide the adoption of AI technologies through the development of standards and recommended practices. 


Hopefully, this list is informative and provides useful insight into who is working on standards relating to AI.


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