The Global AI Standards Repository is the world’s first centralized, transparent notification system that captures AI and Autonomous and Intelligent Systems standards and standards in progress. If you would like to submit an entry, please use the submit button below.

*This is a compilation of user submitted entries. The submitter is responsible for any and all changes/updates to the list of standards.

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Organization Standard Scope Stage Country
IEEE IEEE P7014™ - IEEE Draft Standards Project for Ethical considerations in Emulated Empathy in Autonomous and Intelligent Systems Defines a model for ethical considerations and practices in the design, creation and use of empathic technology, incorporating systems that have the capacity to identify, quantify, respond to, or simulate affective states. In Development Global
IEEE IEEE P7013™ - IEEE Draft Standards Project for Inclusion and Application Standards for Automated Facial Analysis Technology Provides phenotypic and demographic definitions that technologists and auditors can use to assess the diversity of face data used for training and benchmarking algorithmic performance. In Development Global
IEEE IEEE P7012™ - IEEE Draft Standards Project for Machine Readable Personal Privacy Terms Identifies/addresses the manner in which personal privacy terms are proffered and how they can be read and agreed to by machines. In Development Global
IEEE IEEE P7011™ - IEEE Draft Standards Project for the Process of Identifying and Rating the Trustworthiness of News Sources Provides semi-autonomous processes using standards to create and maintain news purveyor ratings for purposes of public awareness. It standardizes processes to identify and rate the factual accuracy of news stories. In Development Global
IEEE IEEE P7010™ - IEEE Draft Standards Project for Well-being Metric for Autonomous and Intelligent Systems Standard for measuring the impact of artificial intelligence or autonomous and intelligent systems (A/IS) on humans. The overall intent of IEEE P7010 is to supports the outcome of A/IS having positive impacts on human well-being. In Development Global
IEEE IEEE P7009™ - IEEE Draft Standards Project for Fail-Safe Design of Autonomous and Semi-Autonomous Systems Establishes a practical, technical baseline of specific methodologies and tools for the development, implementation, and use of effective fail-safe mechanisms in autonomous and semi-autonomous systems. In Development Global
IEEE IEEE P7008™ - IEEE Draft Standards Project for Ethically Driven Nudging for Robotic, Intelligent and Autonomous Systems Establishes a delineation of typical nudges (currently in use or that could be created). Contains concepts, functions and benefits necessary to establish & ensure ethically driven methodologies for the design of robotic, A/IS incorporating them. In Development Global
IEEE IEEE P7007™ - IEEE Draft Standards Project for Ontological Standard for Ethically Driven Robotics and Automation Systems Establishes a set of ontologies with different abstraction levels that contain concepts, definitions and axioms which are necessary to establish ethically driven methodologies for the design of Robots and Automation Systems. In Development Global
IEEE IEEE P7006™ - IEEE Standards Project for Personal Data AI Agent Working Group Describes the technical elements required to create and grant access to a personalized Artificial Intelligence (AI) that will comprise inputs, learning, ethics, rules and values controlled by individuals. In Development Global
IEEE IEEE P7005™ - IEEE Draft Standards Project for Employer Data Governance Defines specific methodologies to help employers to certify how they approach accessing, collecting, storing, utilizing, sharing, and destroying employee data. Provides specific metrics and conformance criteria regarding these types of uses. In Development Global
IEEE IEEE P7004™ - IEEE Draft Standards Project for Child and Student Data Governance Defines specific methodologies to help users certify how they approach accessing, collecting, storing, utilizing, sharing, and destroying child and student data. Provides specific metrics and conformance criteria regarding these types of uses. In Development Global
IEEE IEEE P7003™- IEEE Draft Standards Project for Algorithmic Bias Considerations Provides developers of algorithms for autonomous or intelligent systems with protocols to avoid negative bias in their code. In Development Global
IEEE IEEE P7002™- IEEE Draft Standards Project for Data Privacy Process Specifies how to manage privacy issues for systems or software that collect personal data by defining requirements that cover corporate data collection policies and quality assurance. In Development Global
IEEE IEEE P7001™ - IEEE Draft Standards Project for Transparency of Autonomous Systems Describes measurable, testable levels of transparency, so that autonomous systems can be objectively assessed and levels of compliance determined. In Development Global
IEEE IEEE P7000™ - IEEE Draft Standards Project for Model Process for Addressing Ethical Concerns During System Design Establishes a process model by which engineers and technologists can address ethical consideration throughout the various stages of system initiation, analysis and design. In Development Global
CIO Strategy Council CAN/CIOSC 103-2™ - Digital Identity and Trust – Part 2: Delivery of Health Care Services Specifies minimum requirements for a user-centric, interoperable health network that securely binds a health care identity to strong digital credentials to facilitate appropriate and user-directed sharing of that identity. In Development CAN
CIO Strategy Council CAN/CIOSC 103-1™ - Digital Trust and Identity – Part 1: Fundamentals Specifies minimum requirements and a set of controls for developing, implementing, operating, monitoring, and governing trust in systems and services that consume and assert digital identity. In Development CAN
CIO Strategy Council CIOSC 102™ - Qualification and Certification of Big Data and Machine Learning Personnel Specifies minimum requirements for the qualification and certification of personnel who perform big data analytics and develop machine learning algorithms. In Development CAN
CIO Strategy Council CAN/CIOSC 101:2019™ - Ethical Design and Use of Automated Decision Systems Specifies minimum requirements in protecting human values and incorporating ethics in the design and use of automated decision systems that use machine learning. Published CAN
CIO Strategy Council CAN/CIOSC 100-2™ - Third-Party Access to Data and Privacy Specifies minimum requirements and a set of privacy controls for third-party access to data. This Standard applies to all organisations, including public and private companies, government entities, and not-for-profit organisations. In Development CAN
CIO Strategy Council CAN/CIOSC 100-1™- Data Protection of Digital Assets Specifies minimum requirements for the data protection of all digital assets at-rest, in-motion, and in-use across platforms, facilitating secure sharing and collaboration across IT systems within and between organizations. In Development CAN
IEEE IEEE P2049.1™ - IEEE Draft Standards Project for Standard for Human Augmentation: Taxonomy and Definitions Specifies the taxonomy and definitions for human augmentation. Human augmentation, also known as human enhancement, is used to refer to technologies that add to the human body and enhance human productivity or capability. Recent advancements in many technical areas have led to a large variety of implants, wearables and otherre technologies that could be classified as human augmentation. In Development Global
IEEE IEEE P2049.2™ - IEEE Draft Standards Project for Human Augmentation: Privacy and Security Specifies requirements, systems, methods, testing and verification for human augmentation to preserve the privacy and security of both consumers and non-consumers of human augmentation. In Development Global
IEEE IEEE P2049.3™ - IEEE Draft Standards Project for Human Augmentation: Identity Specifies the requirements and methods for verifying the identity of a person equipped with human augmentation technologies. Human augmentation refers to technologies that add to the human body and enhance human productivity. In Development Global
IEEE IEEE P2049.4™ - IEEE Draft Standards Project for Human Augmentation: Methodologies and Processes for Ethical Considerations Specifies methodologies and processes to prioritize ethical considerations in the creation of human augmentation technologies. In Development Global
IEEE IEEE P2801™ - IEEE Draft Standards Recommended Practice for the Quality Management of Datasets for Medical Artificial Intelligence Identifies best practices for establishing a quality management system for datasets used for artificial intelligence medical device. In Development Global
IEEE IEEE P2802™ - IEEE Draft Standards Project for the Performance and Safety Evaluation of Artificial Intelligence Based Medical Device: Terminology Establishes terminology used in artificial intelligence medical device, including definitions of fundamental concepts and methodology that describe the safety, effectiveness, risks and quality management of artificial intelligence medical device. In Development Global
IEEE IEEE P2817™ - IEEE Draft Standards Project Guide for Verification of Autonomous Systems Identifies existing best practices and provides instruction sets that define valid verification processes for a range of autonomous system configurations. In Development Global
IEEE IEEE P2089™ - IEEE Draft Standards Project for Age Appropriate Digital Services Framework - Based on the 5Rights Principles for Children Provides a methodology to establish a framework for digital services when end users are children, and by doing so, tailors the services that are provided so that they are age appropriate. In Development Global
IEEE IEEE P3652.1™ - IEEE Draft Standards Project for Guide for Architectural Framework and Application of Federated Machine Learning Provides a blueprint for data usage and model building across organizations while meeting applicable privacy, security and regulatory requirements. In Development Global
ISO/IEC ISO/IEC 20546:2019™ - Information technology - Big Data - Overview and Vocabulary Provides a set of terms and definitions needed to promote improved communication and understanding of this area. It provides a terminological foundation for big data-related standards, and a conceptual overview. Published Global
ISO/IEC ISO/IEC TR 20547-2:2018™ - Information technology --Big data reference architecture --Part 2: Use cases and derived requirements Provides examples of big data use cases with application domains and technical considerations derived from the contributed use cases. Published Global
ISO/IEC ISO/IEC TR 20547-5:2018™ - Information technology --Big data reference architecture --Part 5: Standards roadmap Describes big data relevant standards, both in existence and under development, along with priorities for future big data standards development based on gap analysis. Published Global
ISO/IEC ISO/IEC 22989™ - Artificial Intelligence Concepts and Terminology Foundational standard In Development Global
ISO/IEC ISO/IEC 23053™ - Framework for Artificial Intelligence Systems Using Machine Learning Foundational standard In Development Global