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.

Governance report

Practice-by-practice evidence

Denominator: 28 records · use cases that answered at least one practice question

Reported in placeReported in progressNot applicableNo answer reported

Pre-deployment testing

Pre-deployment testing
No answer reported: 28 (100.0%)

AI impact assessment

AI impact assessment
No answer reported: 28 (100.0%)

Independent review

Independent review
Reported in place: 26 (92.9%)Independent review
Reported in progress: 2 (7.1%)

Ongoing monitoring

Ongoing monitoring
Reported in place: 26 (92.9%)Ongoing monitoring
Reported in progress: 2 (7.1%)

Operator training

Operator training
Reported in place: 26 (92.9%)Operator training
Reported in progress: 2 (7.1%)

Fail-safe

Fail-safe
Not applicable: 28 (100.0%)

Appeal process

Appeal process
Reported in progress: 26 (92.9%)Appeal process
Not applicable: 2 (7.1%)

User and public consultation

User and public consultation
Reported in progress: 8 (28.6%)User and public consultation
No answer reported: 20 (71.4%)

Practice	In scope	In place	In progress	N/A	No answer	Answered	In place of applicable
Pre-deployment testing	28	0	0	0	28	0%	0% of 28
AI impact assessment	28	0	0	0	28	0%	0% of 28
Independent review	28	26	2	0	0	100%	93% of 28
Ongoing monitoring	28	26	2	0	0	100%	93% of 28
Operator training	28	26	2	0	0	100%	93% of 28
Fail-safe	28	0	0	28	0	100%	n/a of 0
Appeal process	28	0	26	2	0	100%	0% of 26
User and public consultation	28	0	8	0	20	29%	0% of 28

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 place Answered

Agency by governance practice
	Testing	Impact assess.	Indep. review	Monitoring	Training	Fail-safe	Appeal	Consultation	n
DOI	–	–	93%	93%	93%	0%	0%	0%	28

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

28 records with at least one practice unanswered or in progressOpen in explorer

Use case	Stage	Test	AIA	Review	Monitor	Train	Fail-safe	Appeal	Consult
Rangeland Condition Monitoring Assessment and Projection (RCMAP) [2024 INV#WO0000000107126] DOI · DOI-0171	Deployed	No answer reported	No answer reported	Reported in progress	Reported in progress	Reported in progress	Not applicable	Not applicable	Reported in progress
use of random forest for species distribution modeling DOI · DOI-0161	Deployed	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Global food-and-water security-support analysis data (GFSAD) project [2024 INV#WO0000000107073] DOI · DOI-0095	Deployed	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Frog vocalization recognition from digital recordings DOI · DOI-0092	Deployed	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Patterns in the Landscape – Analyses of Cause and Effect DOI · DOI-0090	Deployed	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Submersed Aquatic Vegetation Vulnerability Evaluation Application (SAVVEA) DOI · DOI-0081	Deployed	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Machine learning in remote sensing-based wildfire and natural resource risk assessments DOI · DOI-0072	Deployed	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Telemetry Analysis Learning Algorithm (TALA) DOI · DOI-0070	Deployed	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
LANDFIRE DOI · DOI-0069	Deployed	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Deep Learning based image segmentation [2024 INV#WO0000000107975] DOI · DOI-0175	Pilot	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Data-driven approaches to filling missing time-series data within the San Francisco Bay-Delta [2024 INV#WO0000000107683; INV#WO0000000107488] DOI · DOI-0174	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Machine Learning based shoreline detection and sea ice dynamics using coastal cameras [2024 INV#WO0000000108008] DOI · DOI-0166	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	Reported in progress
Tsunami Hazard Analysis [2024 INV#WO0000000108470] DOI · DOI-0165	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	Reported in progress
Determining the resource potential of critical minerals in seafloor massive sulfide deposits [2024 INV#WO0000000109311] DOI · DOI-0163	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	Reported in progress
Lead attribution model DOI · DOI-0152	Pre-deployment	No answer reported	No answer reported	Reported in progress	Reported in progress	Reported in progress	Not applicable	Not applicable	Reported in progress
Feature extraction and characterization for update of The National Map DOI · DOI-0131	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Supervised learning for phycocyanin estimation from Sentinel-2 MSI in inland waters with independent validation DOI · DOI-0130	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
[Un]supervised clustering of [non-]earthquake signals commonly recorded on regional seismic networks DOI · DOI-0121	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	Reported in progress
Inference of PFAS precursor compositions DOI · DOI-0110	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	Reported in progress
Reducing elevation error in coastal wetland digital elevation models DOI · DOI-0088	Pilot	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Developing land cover maps for barrier islands using satellite imagery DOI · DOI-0087	Pilot	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Detecting and tracking reed canarygrass (Phalaris arundinacea) invasion in the Upper Mississippi River floodplain using remote sensing and artifial intelegence. DOI · DOI-0085	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Invasive Carp Harvest Predictive Model DOI · DOI-0061	Pilot	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
PFAS model of soils in the northeast DOI · DOI-0076	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
PFAS Groundwater Model DOI · DOI-0078	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Automated identification of ducks from hunter-submitted photos using deep learning models DOI · DOI-0074	Pilot	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Pathogen identification in salmon DOI · DOI-0071	Pilot	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	Reported in progress
Water Time-Series Record Automation Framework development DOI · DOI-0036	Pre-deployment	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported

Unanswered analytical questions

Generated from the data; for follow-up with agencies

VA designated 52 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?
DOJ designated 9 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?
DOE 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?
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?
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?
3 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.