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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
Stage
High-impact
Topic
AI type1
Sourcing1
Vendor
No options match.
Function
Start year

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

AI type: Classical / predictive MLSourcing: Not reported

Practice-by-practice evidence

Denominator: 9 records · use cases that answered at least one practice question
Reported in placeReported in progressNot applicableNo answer reported
PracticeIn scopeIn placeIn progressNot in placeN/APrecluded or waivedOtherNo answerAnsweredIn place of applicable
Pre-deployment testing900000090%0% of 9
AI impact assessment900000090%0% of 9
Independent review98100000100%89% of 9
Ongoing monitoring98100000100%89% of 9
Operator training98100000100%89% of 9
Fail-safe90009000100%n/a of 0
Appeal process90801000100%0% of 8
User and public consultation9030000633%0% of 9

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––89%89%89%0%0%0%9

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

9 records with at least one practice unanswered or in progressOpen in explorer
Use caseStageTestAIAReviewMonitorTrainFail-safeAppealConsult
Lead attribution model
DOI · DOI-0152
Pre-deploymentNo answer reportedNo answer reportedReported in progressReported in progressReported in progressNot applicableNot applicableReported in progress
Feature extraction and characterization for update of The National Map
DOI · DOI-0131
Pre-deploymentNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Supervised learning for phycocyanin estimation from Sentinel-2 MSI in inland waters with independent validation
DOI · DOI-0130
Pre-deploymentNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
[Un]supervised clustering of [non-]earthquake signals commonly recorded on regional seismic networks
DOI · DOI-0121
Pre-deploymentNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressReported in progress
Inference of PFAS precursor compositions
DOI · DOI-0110
Pre-deploymentNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressReported in progress
Detecting and tracking reed canarygrass (Phalaris arundinacea) invasion in the Upper Mississippi River floodplain using remote sensing and artifial intelegence.
DOI · DOI-0085
Pre-deploymentNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
PFAS model of soils in the northeast
DOI · DOI-0076
Pre-deploymentNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
PFAS Groundwater Model
DOI · DOI-0078
Pre-deploymentNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Water Time-Series Record Automation Framework development
DOI · DOI-0036
Pre-deploymentNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported

Unanswered analytical questions

Generated from the data; for follow-up with agencies
  1. VA designated 21 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. DOJ designated 7 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. DOE designated 6 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?
  4. USDA designated 3 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?
  5. NCUA designated 3 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?

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