Lattice
Workspace
Lifecycle alignment

Where each framework speaks across the AI lifecycle.

Some frameworks address framing and policy; some live inside the model; some are about what happens after deployment. This view places each item at the lifecycle stages it actually addresses, without stretching it to fit cells it does not cover.

Frameworks
Framework / Stage
Framing
Problem definition, stakeholder mapping, go/no-go decision.
Data
Sourcing, provenance, labeling, rights, preprocessing.
Model
Training, evaluation, fairness/safety testing.
Deployment
Integration, rollout, change management, disclosures.
Monitoring
Ongoing performance, incident response, drift.
Retired
Decommissioning, data disposition, archival.
UNESCO
Adopted 2021, reaffirmed 2024
OECD
2022 (informs 2019/2024 OECD AI Principles)
OECD does not directly address the retired stage in the indexed content.
IEEE CertifAIEd
Program v2
OCAP®
Living principles
MITRE ATLAS
Pinned 2026.Q1
MITRE ATLAS does not directly address the retired stage in the indexed content.
NIST AI RMF
1.0 + Generative AI Profile (NIST AI 600-1)

Empty cells are not failures of a framework — they are honest signals about scope. Pulling a framework into a stage it does not address is precisely the move Lattice refuses.

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