TA-14 AI Governance Library
Official Source Index
Access governance records alongside their originating standards, regulations, guidance documents, or official publications.
A risk-based legal framework governing the development, placement on the market, deployment, and use of artificial intelligence systems in the European Union.
A voluntary framework for managing risks associated with artificial intelligence across organizational and system lifecycles.
A companion profile to the NIST AI RMF addressing risks and actions specific to generative artificial intelligence.
An international management system standard specifying requirements for establishing, implementing, maintaining, and continually improving an AI management system.
International guidance for organizations seeking to identify, assess, treat, monitor, and communicate risks related to artificial intelligence.
An international standard establishing concepts and terminology used across artificial intelligence systems and related standards.
A framework describing machine-learning-based AI systems and their components, functions, and relationships.
Guidance for governing bodies on the organizational implications of using artificial intelligence.
General principles, framework, and process guidance for managing risk across organizations.
International principles promoting innovative and trustworthy artificial intelligence that respects human rights and democratic values.
A global normative instrument addressing the ethical development and use of artificial intelligence.
A nonbinding framework describing protections for people affected by automated systems.
Federal agency guidance establishing governance, innovation, inventory, and risk-management expectations for agency use of artificial intelligence.
A body of consumer-protection guidance and enforcement messaging addressing deceptive, unfair, discriminatory, and unsupported AI practices.
A proposed Canadian legislative framework intended to regulate high-impact artificial intelligence systems.
A state law governing developers and deployers of high-risk artificial intelligence systems used in consequential decisions.
A local law regulating certain automated employment decision tools used in hiring and promotion decisions.
European data-protection requirements governing personal data processing, profiling, transparency, and certain solely automated decisions.
A community-developed list of significant security risks affecting applications built with large language models.
A knowledge base of adversary tactics and techniques targeting machine-learning and AI systems.
An enterprise risk management framework integrating risk with strategy and organizational performance.
A global framework defining state duties and corporate responsibilities regarding business-related human-rights impacts.
A standard process for identifying and addressing ethical values and concerns during system and software design.