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

Reported in placeReported in progressNot applicableOther or ambiguous answerNo answer reported

Pre-deployment testing

Pre-deployment testing
Reported in place: 2 (14.3%)Pre-deployment testing
Reported in progress: 5 (35.7%)Pre-deployment testing
No answer reported: 7 (50.0%)

AI impact assessment

AI impact assessment
Reported in place: 1 (7.1%)AI impact assessment
Reported in progress: 6 (42.9%)AI impact assessment
No answer reported: 7 (50.0%)

Independent review

Independent review
Reported in place: 8 (57.1%)Independent review
Reported in progress: 6 (42.9%)

Ongoing monitoring

Ongoing monitoring
Reported in place: 8 (57.1%)Ongoing monitoring
Reported in progress: 6 (42.9%)

Operator training

Operator training
Reported in place: 8 (57.1%)Operator training
Reported in progress: 6 (42.9%)

Fail-safe

Fail-safe
Reported in place: 1 (7.1%)Fail-safe
Reported in progress: 4 (28.6%)Fail-safe
Not applicable: 9 (64.3%)

Appeal process

Appeal process
Reported in place: 2 (14.3%)Appeal process
Reported in progress: 10 (71.4%)Appeal process
Not applicable: 2 (14.3%)

User and public consultation

User and public consultation
Reported in place: 2 (14.3%)User and public consultation
Reported in progress: 4 (28.6%)User and public consultation
Other or ambiguous answer: 1 (7.1%)User and public consultation
No answer reported: 7 (50.0%)

Practice	In scope	In place	In progress	N/A	Other	No answer	Answered	In place of applicable
Pre-deployment testing	14	2	5	0	0	7	50%	14% of 14
AI impact assessment	14	1	6	0	0	7	50%	7% of 14
Independent review	14	8	6	0	0	0	100%	57% of 14
Ongoing monitoring	14	8	6	0	0	0	100%	57% of 14
Operator training	14	8	6	0	0	0	100%	57% of 14
Fail-safe	14	1	4	9	0	0	100%	20% of 5
Appeal process	14	2	10	2	0	0	100%	17% of 12
User and public consultation	14	2	4	0	1	7	50%	14% of 14

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	–	–	100%	100%	100%	0%	0%	–	7
DOJ	0%	0%	0%	0%	0%	0%	0%	0%	3
DHS	50%	0%	0%	0%	0%	0%	100%	0%	2
SBA	100%	100%	100%	100%	100%	0%	0%	100%	1
DOE	0%	0%	0%	0%	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 case	Stage	Test	AIA	Review	Monitor	Train	Fail-safe	Appeal	Consult
Babel DHS · DHS-185	Deployed	Reported in place	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in place	Other or ambiguous answer
Open Source and Social Media Analysis DHS · DHS-2538	Deployed	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Not applicable	Reported in place	Reported in progress
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
U.S. Wind Turbine Database DOI · DOI-0080	Deployed	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Unmanned Aerial Systems (UAS) DOJ · DOJ-0003	Deployed	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress
Veritone Illuminate DOJ · DOJ-0039	Deployed	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress
Language Translation, Optical Character Recognition (OCR), Object Detection, Language Detection, Alert Noise Reduction DOJ · DOJ-0138	Deployed	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress
Drone Imagery Analysis DOE · DOE-539	Pilot	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in progress	Reported in place	Not applicable	Reported in place
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
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
Flor-AI: Developing a Remotely Sensed Image Classification Method for Inventory and Monitoring of Flora in Digital UAS Imagery DOI · DOI-0079	Pilot	No answer reported	No answer reported	Reported in place	Reported in place	Reported in place	Not applicable	Reported in progress	No answer reported
Automating the Detection and Classification of Wildlife in Aerial Imagery [2024 INV#WO0000000109409] DOI · DOI-0075	Pilot	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 10 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 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?
3 high-impact use cases report using PII but give no link to a Privacy Impact Assessment. Is a PIA published elsewhere?
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.