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Six frameworks. Six different jobs.

Each framework was authored for a different purpose, audience, and unit of analysis. Lattice indexes them at the structural level and links back to the canonical document. Click in to read the principles, functions, controls, criteria, and tactics inside each.

UNESCO

UNESCO · Adopted 2021, reaffirmed 2024

Normative ethics grounded in human rights, dignity, transparency, fairness, and human oversight.

Audience
Member states, policymakers, organizations.
Unit of analysis
Principles and values.

OECD

OECD · 2022 (informs 2019/2024 OECD AI Principles)

Classify AI systems across People & Planet, Economic Context, Data & Input, AI Model, Task & Output.

Audience
Policymakers, regulators, organizations.
Unit of analysis
AI system characteristics.

IEEE CertifAIEd

IEEE Standards Association · Program v2

Certification methodology for ethical implications of autonomous intelligent systems: transparency, accountability, algorithmic bias, privacy.

Audience
Product teams, certifying bodies, professionals.
Unit of analysis
Product/system and professional competence.

IEEE CertifAIEd is a trademark of IEEE.

OCAP®

First Nations Information Governance Centre (FNIGC) · Living principles

First Nations principles for data governance, self-determination, and stewardship.

Audience
First Nations communities, and partners working with First Nations data.
Unit of analysis
First Nations data and the relationships around it.

OCAP® is a registered trademark of FNIGC. Use of OCAP® here is for reference; this tool does not substitute for community engagement or accredited training.

MITRE ATLAS

MITRE · Pinned 2026.Q1

Living knowledge base of adversary tactics and techniques targeting AI systems.

Audience
Security teams, red teams, ML engineers.
Unit of analysis
Adversarial behaviors against ML/AI.

NIST AI RMF

U.S. National Institute of Standards and Technology · 1.0 + Generative AI Profile (NIST AI 600-1)

Voluntary framework to manage AI risks across Govern, Map, Measure, Manage functions.

Audience
Organizations of any size deploying AI.
Unit of analysis
Organizational AI risk management practice.

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