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v2026.11,986 entries · CC-BY 4.0
NIKOLAI elementN6 · Mitigations and securityProposednikolai-v0.3

Staged release (phased or limited deployment)

Definition

Staged release is releasing an AI model in steps, for example to internal staff, then trusted testers, then a limited group of users, then the public, with a risk check or monitoring period before each wider step, instead of releasing it to everyone at once.

Also called: Phased rollout, Controlled Rollout, Iterated deployment, Staged deployment

NIKOLAI's proposed operational definition

NIKOLAI proposes Staged release as the class of deployment safeguards that widen access to a model in steps (internal use, trusted testers, a limited or percentage-limited user group, general availability, and possibly open weights), with a risk review or monitoring checkpoint before each widening. A staged-release record should list the stages, who had access at each, how long each lasted and what evidence allowed the next step. The stage labels themselves come from N1's deployment-type controlled value. This is an unsourced NIKOLAI editorial synthesis.

The operational definition is CASRAI's own proposal, not a definition any named organisation has agreed to. See what NIKOLAI is and is not, or browse the AI safety glossary.

Examples

Examples from published documents

  • The EU Code of Practice lists "staging the access to the model, e.g. by limiting API access to vetted users, gradually expanding access based on post-market monitoring, and/or not making the model parameters publicly available for download initially" as a safety mitigation (EU GPAI Code of Practice, Safety and Security Chapter, Measure 5.1)
  • Anthropic reports that "some launch preview customers had early access using the less robust classifier until we developed an improved classifier for the model's general access launch" (Anthropic Risk Report, August 2026, §6.5)

Counter-examples

Not to be confused with

  • An exemption gives a named group reduced safeguards on a standing, revocable basis; a release stage gives a limited group access before others, normally with the same or stronger safeguards.

Source of record

Where this definition comes from

Crosswalk

How named organisations use this concept

Every row below is a shadow mapping. A shadow row is CASRAI's own reading of a published document. No lab, evaluator or regulator named on a shadow row has declared, endorsed, or been consulted on it. That changes only when an organisation files its own Mapping Declaration.
OrganisationTheir term, as publishedMatch & verificationSource
EUShadow mapping
EU GPAI Code of Practice, Safety and Security Chapter
“Measure 5.1 safety mitigation: "staging the access to the model, e.g. by limiting API access to vetted users, gradually expanding access based on post-market monitoring, and/or not making the model parameters publicly available for download initially"”exactEQ
confidence: high
EU GPAI Code of Practice, Safety and Security Chapter
G42Shadow mapping
G42 Frontier Safety Framework
“"Controlled Rollout: For new frontier-level models, implement phased rollouts, starting with limited access to trusted users, with full deployment only after exhaustive risk assessments."”exactEQ
confidence: high
G42 Frontier Safety Framework
OpenAIShadow mapping
OpenAI Preparedness Framework v2
“Trust-based Access safeguards: "Iterated deployment to wider user groups"; efficacy assessment: "Iterated deployment to wider user group, with careful monitoring to detect instances of abuse"”closeCL
confidence: high
OpenAI Preparedness Framework v2
MetaShadow mapping
Meta Advanced AI Scaling Framework v2
“Deployment types: "Limited deployment: releasing a final version externally to a limited set of vetted and trustworthy external parties."; "Controlled deployment: deploying to a small percentage-limited set of product users prior to broad availability."”
Meta's list is a deployment-type ladder; the staging is implied by the order, not stated as a rule.
closeCL
confidence: medium
Meta Advanced AI Scaling Framework v2
Google DeepMindShadow mapping
Frontier Safety Framework v3.1
“"Low-Risk External Deployments: represent small scale and private releases restricted to particular external groups or organizations."; residual risk assessment considers that "small scale and private deployments may pose substantially less risk than large scale or public deployments"”closeCL
confidence: medium
Google DeepMind Frontier Safety Framework v3.1
AnthropicShadow mapping
Anthropic Risk Report, August 2026
“"we additionally piloted a staged deployment process in which we first deployed the model on internal surfaces with stronger blocking controls against dangerous actions to gather more real-world usage data in a lower-risk setting before rolling it out for unrestricted internal deployment" (§2.18)”
Staging applied to internal deployment only.
narrowNR
confidence: medium
Anthropic Risk Report, August 2026
What do these codes mean?
exact
The source term is equivalent to this element
close
The source term is close but not equivalent to this element
broad
The source term is broader than this element
narrow
The source term is narrower than this element
none
No mapping claim — used for false-friend and declared-but-undefined rows
EQ
Equivalent
CL
Close
BR
Source is broader than the element
NR
Source is narrower than the element
FF
False friend — same or similar label, different meaning
DU
Declared but undefined by the source
UV
Unverified

Referenced across the research world

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