OCEANIS announced today the launch of the Global AI Standards Repository. This repository is the world’s first centralized, open and transparent notification system that captures AI and Autonomous and Intelligent Systems standards and standards in progress from Standards Developing Bodies around the world. View the Repository or submit to the Repository.

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™ - Standard 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 US
IEEE IEEE P7013™ - IEEE 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 US
IEEE IEEE P7012™ - IEEE 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 US
IEEE IEEE P7011™ - Standard 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 US
IEEE IEEE P7010™ - IEEE 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 US
IEEE IEEE P7009™ - IEEE 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 US
IEEE IEEE P7008™ - IEEE 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 US
IEEE IEEE P7007™ - IEEE 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 US
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 US
IEEE IEEE P7005™ - IEEE 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 US
IEEE IEEE P7004™ - IEEE 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 US
IEEE IEEE P7003™- IEEE 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 US
IEEE IEEE P7002™- IEEE 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 US
IEEE IEEE P7001™ - IEEE 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 US
IEEE IEEE P7000™ - IEEE 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 US
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 within 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