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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.

feedback: blankStage: Pilot

Practice-by-practice evidence

Denominator: 12 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 testing120200001017%0% of 12
AI impact assessment120200001017%0% of 12
Independent review121000000283%83% of 12
Ongoing monitoring121010000192%83% of 12
Operator training121010000192%83% of 12
Fail-safe120001100192%0% of 1
Appeal process120100100192%0% of 11
User and public consultation12000000120%0% of 12

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––100%100%100%0%0%–10
DOE0%0%–0%0%0%0%–2

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

12 records with at least one practice unanswered or in progressOpen in explorer
Use caseStageTestAIAReviewMonitorTrainFail-safeAppealConsult
AI Chat Bot for IT User Services
DOE · DOE-463
PilotReported in progressReported in progressNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reportedNo answer reported
CoPilot
DOE · DOE-734
PilotReported in progressReported in progressNo answer reportedReported in progressReported in progressNot applicableNot applicableNo answer reported
Deep Learning based image segmentation [2024 INV#WO0000000107975]
DOI · DOI-0175
PilotNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Foundation Models to Advance Earth Science [2024 INV#WO0000000107153]
DOI · DOI-0172
PilotNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
LLM-Assisted Volcanic Alert Monitoring
DOI · DOI-0109
PilotNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Reducing elevation error in coastal wetland digital elevation models
DOI · DOI-0088
PilotNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Developing land cover maps for barrier islands using satellite imagery
DOI · DOI-0087
PilotNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Invasive Carp Harvest Predictive Model
DOI · DOI-0061
PilotNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Flor-AI: Developing a Remotely Sensed Image Classification Method for Inventory and Monitoring of Flora in Digital UAS Imagery
DOI · DOI-0079
PilotNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Automating the Detection and Classification of Wildlife in Aerial Imagery [2024 INV#WO0000000109409]
DOI · DOI-0075
PilotNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Automated identification of ducks from hunter-submitted photos using deep learning models
DOI · DOI-0074
PilotNo answer reportedNo answer reportedReported in placeReported in placeReported in placeNot applicableReported in progressNo answer reported
Automated photographic identification of Eastern box turtles
DOI · DOI-0073
PilotNo 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. 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?
  2. VA 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. 6 high-impact use cases report using PII but give no link to a Privacy Impact Assessment. Is a PIA published elsewhere?

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