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: 10 records · all use cases in the current filter

Reported in placeReported in progressNot applicableNo answer reported

Pre-deployment testing

Pre-deployment testing
Reported in progress: 3 (30.0%)Pre-deployment testing
No answer reported: 7 (70.0%)

AI impact assessment

AI impact assessment
Reported in progress: 3 (30.0%)AI impact assessment
No answer reported: 7 (70.0%)

Independent review

Independent review
Reported in place: 7 (70.0%)Independent review
Reported in progress: 3 (30.0%)

Ongoing monitoring

Ongoing monitoring
Reported in place: 7 (70.0%)Ongoing monitoring
Reported in progress: 3 (30.0%)

Operator training

Operator training
Reported in place: 7 (70.0%)Operator training
Reported in progress: 3 (30.0%)

Fail-safe

Fail-safe
Reported in progress: 3 (30.0%)Fail-safe
Not applicable: 7 (70.0%)

Appeal process

Appeal process
Reported in progress: 10 (100.0%)

User and public consultation

User and public consultation
Reported in progress: 3 (30.0%)User and public consultation
No answer reported: 7 (70.0%)

Practice	In scope	In place	In progress	N/A	No answer	Answered	In place of applicable
Pre-deployment testing	10	0	3	0	7	30%	0% of 10
AI impact assessment	10	0	3	0	7	30%	0% of 10
Independent review	10	7	3	0	0	100%	70% of 10
Ongoing monitoring	10	7	3	0	0	100%	70% of 10
Operator training	10	7	3	0	0	100%	70% of 10
Fail-safe	10	0	3	7	0	100%	0% of 3
Appeal process	10	0	10	0	0	100%	0% of 10
User and public consultation	10	0	3	0	7	30%	0% of 10

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

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

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

Use case	Stage	Test	AIA	Review	Monitor	Train	Fail-safe	Appeal	Consult
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
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

3 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?

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