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TA-14 AI GOVERNANCE LIBRARY

Governance Comparison Matrix

Compare laws, regulations, standards, frameworks, principles, recommendations, methodologies, and other governance records across type, jurisdiction, publisher, and status while preserving the distinctions between authority, applicability, obligation, and execution.

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COMPARISON CONTROL DESK

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Select up to four records for a focused comparison. Similar labels do not prove equivalent authority, requirements, scope, evidence expectations, or legal effect.

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COMPLETE RECORD MATRIX

Governance source comparison

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AI Incident Response

Practices for identifying, triaging, containing, investigating, documenting, and resolving AI incidents.

guidanceInternationalTA-14 AI Governance LibrarypublishedView →
Artificial Intelligence and Data Act

A proposed Canadian legislative framework intended to regulate high-impact artificial intelligence systems.

lawCanadaParliament of CanadapublishedView →
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.

guidanceUnited StatesNational Institute of Standards and TechnologypublishedView →
Blueprint for an AI Bill of Rights

A nonbinding framework describing protections for people affected by automated systems.

guidanceUnited StatesWhite House Office of Science and Technology PolicypublishedView →
Colorado Artificial Intelligence Act

A state law governing developers and deployers of high-risk artificial intelligence systems used in consequential decisions.

lawColorado, United StatesColorado General AssemblyadoptedView →
COSO Enterprise Risk Management Framework

An enterprise risk management framework integrating risk with strategy and organizational performance.

frameworkInternationalCommittee of Sponsoring Organizations of the Treadway CommissionpublishedView →
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.

lawEuropean UnionEuropean UnionadoptedView →
Federal Trade Commission Artificial Intelligence Guidance

A body of consumer-protection guidance and enforcement messaging addressing deceptive, unfair, discriminatory, and unsupported AI practices.

guidanceUnited StatesFederal Trade CommissionpublishedView →
General Data Protection Regulation and Automated Decision-Making

European data-protection requirements governing personal data processing, profiling, transparency, and certain solely automated decisions.

lawEuropean UnionEuropean UnionactiveView →
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.

standardInternationalIEEE Standards AssociationpublishedView →
ISO 31000 Risk Management Guidelines

General principles, framework, and process guidance for managing risk across organizations.

standardInternationalInternational Organization for StandardizationpublishedView →
ISO/IEC 22989 Artificial Intelligence Concepts and Terminology

An international standard establishing concepts and terminology used across artificial intelligence systems and related standards.

standardInternationalISO and IECpublishedView →
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.

standardInternationalISO and IECpublishedView →
ISO/IEC 23894 Artificial Intelligence Risk Management

International guidance for organizations seeking to identify, assess, treat, monitor, and communicate risks related to artificial intelligence.

standardInternationalISO and IECpublishedView →
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.

standardInternationalISO and IECpublishedView →
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.

standardInternationalISO and IECpublishedView →
MITRE ATLAS

A knowledge base of adversary tactics and techniques targeting machine-learning and AI systems.

frameworkInternationalMITREpublishedView →
Model Governance

Governance practices covering model approval, versioning, validation, monitoring, retirement, and accountability.

guidanceInternationalTA-14 AI Governance LibrarypublishedView →
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.

lawNew York City, United StatesNew York CityactiveView →
NIST Artificial Intelligence Risk Management Framework

A voluntary framework for managing risks associated with artificial intelligence across organizational and system lifecycles.

frameworkUnited StatesNational Institute of Standards and TechnologyvoluntaryView →
OECD Principles on Artificial Intelligence

International principles promoting innovative and trustworthy artificial intelligence that respects human rights and democratic values.

principleInternationalOrganisation for Economic Co-operation and DevelopmentadoptedView →
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.

guidanceUnited StatesOffice of Management and BudgetpublishedView →
OWASP Top 10 for Large Language Model Applications

A community-developed list of significant security risks affecting applications built with large language models.

guidanceInternationalOWASP FoundationpublishedView →
Runtime AI Governance

Governance applied while AI systems are executing rather than only before deployment.

architectureArchitectureTA-14 AI Governance LibraryfoundationalView →
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.

architectureArchitectureTA-14 AuthorityfoundationalView →
TA-14 Reality-to-Outcome Governance Chain

A governance chain expressed as Reality, Record, Continuity, Admissibility, Binding, Commit, Execution, and Outcome.

architectureArchitectureTA-14 AuthorityfoundationalView →
UNESCO Recommendation on the Ethics of Artificial Intelligence

A global normative instrument addressing the ethical development and use of artificial intelligence.

principleInternationalUNESCOadoptedView →
United Nations Guiding Principles on Business and Human Rights

A global framework defining state duties and corporate responsibilities regarding business-related human-rights impacts.

principleInternationalUnited NationsadoptedView →
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GOVERNANCE COMPARISON BOUNDARY

Comparable does not mean interchangeable.

Governance records may address similar subjects while carrying different authority, scope, terminology, obligations, lifecycle expectations, evidence requirements, enforcement conditions, and legal effects. A comparison matrix supports structured review. It does not itself establish applicability, precedence, equivalence, compliance, certification, or permission to execute.

COMPARISON CAN SHOWShared metadata, source distinctions, overlapping domains, and structural differences
COMPARISON CANNOT PROVELegal equivalence, substituted compliance, applicability, conformity, or execution authority
GOVERNED USE REQUIRESSource review, competent interpretation, applicability evidence, binding, and preserved execution records

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