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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
Governance and accountability

Governance evidence

What agencies reported about the OMB M-25-21 minimum practices for high-impact AI. This is a disclosure analysis, not an audit, a compliance finding or an official assessment. An unanswered question is missing evidence, not evidence that a safeguard is absent.

Agency
Stage1
High-impact
Topic
AI type
Sourcing
Vendor
Function
Start year

Only records with a parseable start date match a year filter.

testing: blankStage: Deployed

Practice-by-practice evidence

Denominator: 13 records · use cases that answered at least one practice question
Reported in placeReported in progressNot applicablePrecluded by law or guidanceNo answer reported
PracticeIn scopeIn placeIn progressNot in placeN/APrecluded or waivedOtherNo answerAnsweredIn place of applicable
Pre-deployment testing13000000130%0% of 13
AI impact assessment13010000128%0% of 13
Independent review131010000285%77% of 13
Ongoing monitoring131010000285%77% of 13
Operator training131010000285%77% of 13
Fail-safe131001100192%50% of 2
Appeal process130100110192%0% of 11
User and public consultation132100001023%15% of 13

Answered = records with any answer ÷ records in scope. In place of applicable = reported in place ÷ (in scope minus not applicable, precluded and waived). Unanswered records stay in that denominator, so the rate is a lower bound on reported evidence, not an estimate of real practice.

Agency-by-safeguard heatmap

Cell: share reported in place, among applicable recordsIn placeAnswered
Agency by governance practice
TestingImpact assess.Indep. reviewMonitoringTrainingFail-safeAppealConsultationn
DOI––91%91%91%0%0%0%11
EAC–––––––100%1
SSA–0%–––100%0%100%1

Hatched cells: the agency answered nothing for that practice, so there is no evidence either way. Compare agencies with care: each agency is one reporting unit, and portfolios differ in size and type.

Records requiring further investigation

13 records with at least one practice unanswered or in progressOpen in explorer
Use caseStageTestAIAReviewMonitorTrainFail-safeAppealConsult
Rangeland Condition Monitoring Assessment and Projection (RCMAP) [2024 INV#WO0000000107126]
DOI · DOI-0171
DeployedNo answer reportedNo answer reportedReported in progressReported in progressReported in progressNot applicableNot applicableReported in progress
use of random forest for species distribution modeling
DOI · DOI-0161
DeployedNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Global food-and-water security-support analysis data (GFSAD) project [2024 INV#WO0000000107073]
DOI · DOI-0095
DeployedNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Frog vocalization recognition from digital recordings
DOI · DOI-0092
DeployedNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Patterns in the Landscape – Analyses of Cause and Effect
DOI · DOI-0090
DeployedNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Submersed Aquatic Vegetation Vulnerability Evaluation Application (SAVVEA)
DOI · DOI-0081
DeployedNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
U.S. Wind Turbine Database
DOI · DOI-0080
DeployedNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Machine learning in remote sensing-based wildfire and natural resource risk assessments
DOI · DOI-0072
DeployedNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Telemetry Analysis Learning Algorithm (TALA)
DOI · DOI-0070
DeployedNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
LANDFIRE
DOI · DOI-0069
DeployedNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
DocketScope
DOI · DOI-0040
DeployedNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Grants Lifecycle Application System
EAC · EAC-3
DeployedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedReported in place
Digital Identity Verification Services
SSA · R3122
DeployedNo answer reportedReported in progressNo answer reportedNo answer reportedNo answer reportedReported in placePrecluded by law or guidanceReported in place

Unanswered analytical questions

Generated from the data; for follow-up with agencies
  1. VA designated 94 use cases high-impact but answered none of the minimum-practice questions for any of them. Were the practices assessed, and where is that recorded?
  2. NCUA designated 5 use cases high-impact but answered none of the minimum-practice questions for any of them. Were the practices assessed, and where is that recorded?
  3. 1 high-impact use cases are reported as deployed while their AI impact assessment is reported in progress. Was deployment authorised before the assessment was complete?
  4. 1 high-impact use cases report using PII but give no link to a Privacy Impact Assessment. Is a PIA published elsewhere?
  5. 1 governance answers are ambiguous (for example, an answer option from a different question). What did the agency intend?

These are questions the inventory raises but cannot answer. They are not findings of non-compliance.