TA-14TA-14 EXCHANGEAI Governance Playground
TA-14Governance FrameworksAI Governance Library

FRAMEWORKS

Understand the structure before adopting the language.

Frameworks organize governance activity, but they do not all carry the same authority, scope, evidence expectations, or operational depth. This library preserves those differences and shows how each framework can be translated into reviewable TA-14 governance routes.

WHAT A FRAMEWORK IS

A framework organizes governance work.

A framework can define functions, domains, practices, outcomes, questions, controls, tests, or review steps. It may guide an organization without creating legal duties by itself. The library keeps frameworks distinct from laws, regulations, standards, principles, certifications, and independent assurance.

FRAMEWORK CATALOG

Start with the frameworks most organizations encounter.

Each module preserves source identity, intended use, authority, scope, lifecycle coverage, evidence expectations, relationships, known limitations, and TA-14 implementation pathways.

01Foundation module

NIST AI RMF

NIST AI Risk Management Framework

National Institute of Standards and Technology

Voluntary framework

A structured approach for identifying, measuring, managing, and governing risks associated with artificial intelligence systems.

GovernMapMeasureManage
Open framework module
02Foundation module

AI Verify

AI Verify

Infocomm Media Development Authority of Singapore

Testing and governance framework

A testing-oriented governance framework that connects responsible AI principles with technical tests, process checks, and evidence.

TestingProcess reviewEvidenceReporting
Open framework module
03Catalog module

RAI

Responsible AI Frameworks

Multiple organizations

Organization-defined frameworks

A family of governance approaches that organize principles, policies, controls, reviews, and accountability around responsible AI development and use.

AccountabilityFairnessTransparencySafety
Open framework module
04Catalog module

AI Risk

Enterprise AI Risk Frameworks

Organizations and assurance bodies

Internal or advisory framework

Enterprise structures that connect AI inventories, ownership, risk classification, controls, monitoring, incidents, and executive oversight.

InventoryRisk tiersControlsMonitoring
Open framework module

COMPARISON ENGINE

Compare substance, not just terminology.

Two frameworks may use similar words while governing different risks, actors, evidence, or lifecycle stages. Comparison should expose both overlap and boundary rather than flattening distinct systems into a false equivalence.

Open Framework Comparison
01Issuing authority
02Purpose and intended users
03Legal or organizational force
04Lifecycle coverage
05Risk and control structure
06Evidence expectations
07Testing and assurance
08Human oversight
09Incident and change governance
10TA-14 route mapping

FROM FRAMEWORK TO ROUTE

Translate governance structure into execution conditions.

A framework becomes operational only when its expectations are connected to identity, evidence, authority, continuity, decision logic, bindings, commitments, execution boundaries, and outcome records.

Framework
Requirement
Evidence
Decision
Binding
Commit
Execution
Outcome
Build From a Framework

BOUNDARY

Using a framework is not the same as proving governance.

A framework can organize work, but it does not automatically prove that requirements were met, evidence was admissible, authority was valid, controls operated as intended, or outcomes corresponded to the committed route. TA-14 preserves those questions separately.