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.
Practice-by-practice evidence
Denominator: 18 records · all use cases in the current filterReported in placeReported in progressNot applicableNo answer reported
Pre-deployment testing
Pre-deployment testing
Reported in progress: 1 (5.6%)Pre-deployment testing
No answer reported: 17 (94.4%)
18Reported in progress: 1 (5.6%)Pre-deployment testing
No answer reported: 17 (94.4%)
AI impact assessment
AI impact assessment
Reported in progress: 1 (5.6%)AI impact assessment
No answer reported: 17 (94.4%)
18Reported in progress: 1 (5.6%)AI impact assessment
No answer reported: 17 (94.4%)
Independent review
Independent review
Reported in place: 4 (22.2%)Independent review
Reported in progress: 1 (5.6%)Independent review
No answer reported: 13 (72.2%)
18Reported in place: 4 (22.2%)Independent review
Reported in progress: 1 (5.6%)Independent review
No answer reported: 13 (72.2%)
Ongoing monitoring
Ongoing monitoring
Reported in place: 4 (22.2%)Ongoing monitoring
Reported in progress: 1 (5.6%)Ongoing monitoring
No answer reported: 13 (72.2%)
18Reported in place: 4 (22.2%)Ongoing monitoring
Reported in progress: 1 (5.6%)Ongoing monitoring
No answer reported: 13 (72.2%)
Operator training
Operator training
Reported in place: 4 (22.2%)Operator training
Reported in progress: 1 (5.6%)Operator training
No answer reported: 13 (72.2%)
18Reported in place: 4 (22.2%)Operator training
Reported in progress: 1 (5.6%)Operator training
No answer reported: 13 (72.2%)
Fail-safe
Fail-safe
Reported in place: 1 (5.6%)Fail-safe
Not applicable: 4 (22.2%)Fail-safe
No answer reported: 13 (72.2%)
18Reported in place: 1 (5.6%)Fail-safe
Not applicable: 4 (22.2%)Fail-safe
No answer reported: 13 (72.2%)
Appeal process
Appeal process
Reported in progress: 4 (22.2%)Appeal process
Not applicable: 1 (5.6%)Appeal process
No answer reported: 13 (72.2%)
18Reported in progress: 4 (22.2%)Appeal process
Not applicable: 1 (5.6%)Appeal process
No answer reported: 13 (72.2%)
User and public consultation
User and public consultation
Reported in place: 1 (5.6%)User and public consultation
No answer reported: 17 (94.4%)
18Reported in place: 1 (5.6%)User and public consultation
No answer reported: 17 (94.4%)
| Practice | In scope | In place | In progress | Not in place | N/A | Precluded or waived | Other | No answer | Answered | In place of applicable |
|---|---|---|---|---|---|---|---|---|---|---|
| Pre-deployment testing | 18 | 0 | 1 | 0 | 0 | 0 | 0 | 17 | 6% | 0% of 18 |
| AI impact assessment | 18 | 0 | 1 | 0 | 0 | 0 | 0 | 17 | 6% | 0% of 18 |
| Independent review | 18 | 4 | 1 | 0 | 0 | 0 | 0 | 13 | 28% | 22% of 18 |
| Ongoing monitoring | 18 | 4 | 1 | 0 | 0 | 0 | 0 | 13 | 28% | 22% of 18 |
| Operator training | 18 | 4 | 1 | 0 | 0 | 0 | 0 | 13 | 28% | 22% of 18 |
| Fail-safe | 18 | 1 | 0 | 0 | 4 | 0 | 0 | 13 | 28% | 7% of 14 |
| Appeal process | 18 | 0 | 4 | 0 | 1 | 0 | 0 | 13 | 28% | 0% of 17 |
| User and public consultation | 18 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 6% | 6% of 18 |
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.
| Testing | Impact assess. | Indep. review | Monitoring | Training | Fail-safe | Appeal | Consultation | n | |
|---|---|---|---|---|---|---|---|---|---|
| DOI | – | – | 29% | 29% | 29% | 0% | 0% | – | 14 |
| USDA | – | – | – | – | – | – | – | – | 2 |
| DOJ | – | – | – | – | – | – | – | – | 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
18 records with at least one practice unanswered or in progressOpen in explorer| Use case | Stage | Test | AIA | Review | Monitor | Train | Fail-safe | Appeal | Consult |
|---|---|---|---|---|---|---|---|---|---|
| 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 |
| Automated otolith aging using image processing [2024 INV#WO0000000109315] DOI · DOI-0225 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported |
| Machine-learning model to delineate sub-surface agricultural drainage from satellite imagery [2024 INV#WO0000000109078] DOI · DOI-0199 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported |
| Machine learning-based landscape feature classification using satellite and airborne imagery [2024 INV#WO0000000108791; 2024 INV#WO0000000108794] DOI · DOI-0192 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported |
| Machine Learning Image Classification of Wetlands and Soil moisture [2024 INV#WO0000000108779] DOI · DOI-0190 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported |
| Wave runup and total water level observations from time series imagery at several sites with varying nearshore morphologies [2024 INV#WO0000000108262] DOI · DOI-0182 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | 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 |
| Random forest models for predicting water quality of inland waters from remotely sensed imagery DOI · DOI-0137 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported |
| Improving Prediction Capabilities for Barrier Island Landscape Change DOI · DOI-0114 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported |
| Lake-wide monitoring and assessment of Great Lakes fisheries with autonomous vehicles and image analysis DOI · DOI-0113 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | 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 |
| 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 |
| Mapping wood and wood hazards in the Willamette Basin, Oregon DOI · DOI-0063 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported |
| Implementation of Artificial Intelligence to Estimate Population Size of a Migratory Bird from Aerial Thermal Imagery [2024 INV#DOI-67] DOI · DOI-0028 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported |
| Data Triage and Processing DOJ · DOJ-0305 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported |
| LCAT - Land Change Analysis Technique USDA · USDA-011 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported |
| Wildlife Deterrent System USDA · USDA-086 | Pilot | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported | No answer reported |
Unanswered analytical questions
Generated from the data; for follow-up with agenciesThese are questions the inventory raises but cannot answer. They are not findings of non-compliance.