TA-14 AI Governance Library
Governance Timeline
A chronological-style view of governance records showing publication status, jurisdiction, publisher, and governance artifact.
New York City Local Law 144 on Automated Employment Decision Tools
A local law regulating certain automated employment decision tools used in hiring and promotion decisions.
General Data Protection Regulation and Automated Decision-Making
European data-protection requirements governing personal data processing, profiling, transparency, and certain solely automated decisions.
European Union Artificial Intelligence Act
A risk-based legal framework governing the development, placement on the market, deployment, and use of artificial intelligence systems in the European Union.
OECD Principles on Artificial Intelligence
International principles promoting innovative and trustworthy artificial intelligence that respects human rights and democratic values.
UNESCO Recommendation on the Ethics of Artificial Intelligence
A global normative instrument addressing the ethical development and use of artificial intelligence.
Colorado Artificial Intelligence Act
A state law governing developers and deployers of high-risk artificial intelligence systems used in consequential decisions.
United Nations Guiding Principles on Business and Human Rights
A global framework defining state duties and corporate responsibilities regarding business-related human-rights impacts.
TA-14 Admissible Execution Architecture
An evidence-bound governance architecture that determines whether a proposed action is admissible before execution and preserves the resulting outcome evidence.
TA-14 Reality-to-Outcome Governance Chain
A governance chain expressed as Reality, Record, Continuity, Admissibility, Binding, Commit, Execution, and Outcome.
Runtime AI Governance
Governance applied while AI systems are executing rather than only before deployment.
Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
A companion profile to the NIST AI RMF addressing risks and actions specific to generative artificial intelligence.
ISO/IEC 42001 Artificial Intelligence Management System
An international management system standard specifying requirements for establishing, implementing, maintaining, and continually improving an AI management system.
ISO/IEC 23894 Artificial Intelligence Risk Management
International guidance for organizations seeking to identify, assess, treat, monitor, and communicate risks related to artificial intelligence.
ISO/IEC 22989 Artificial Intelligence Concepts and Terminology
An international standard establishing concepts and terminology used across artificial intelligence systems and related standards.
ISO/IEC 23053 Framework for Artificial Intelligence Systems Using Machine Learning
A framework describing machine-learning-based AI systems and their components, functions, and relationships.
ISO/IEC 38507 Governance Implications of the Use of Artificial Intelligence by Organizations
Guidance for governing bodies on the organizational implications of using artificial intelligence.
ISO 31000 Risk Management Guidelines
General principles, framework, and process guidance for managing risk across organizations.
Blueprint for an AI Bill of Rights
A nonbinding framework describing protections for people affected by automated systems.
OMB Memorandum M-24-10: Advancing Governance, Innovation, and Risk Management for Agency Use of Artificial Intelligence
Federal agency guidance establishing governance, innovation, inventory, and risk-management expectations for agency use of artificial intelligence.
Federal Trade Commission Artificial Intelligence Guidance
A body of consumer-protection guidance and enforcement messaging addressing deceptive, unfair, discriminatory, and unsupported AI practices.
Artificial Intelligence and Data Act
A proposed Canadian legislative framework intended to regulate high-impact artificial intelligence systems.
OWASP Top 10 for Large Language Model Applications
A community-developed list of significant security risks affecting applications built with large language models.
MITRE ATLAS
A knowledge base of adversary tactics and techniques targeting machine-learning and AI systems.
COSO Enterprise Risk Management Framework
An enterprise risk management framework integrating risk with strategy and organizational performance.
IEEE 7000 Model Process for Addressing Ethical Concerns During System Design
A standard process for identifying and addressing ethical values and concerns during system and software design.
AI Incident Response
Practices for identifying, triaging, containing, investigating, documenting, and resolving AI incidents.
Model Governance
Governance practices covering model approval, versioning, validation, monitoring, retirement, and accountability.
NIST Artificial Intelligence Risk Management Framework
A voluntary framework for managing risks associated with artificial intelligence across organizational and system lifecycles.