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: 8 records · use cases designated high-impactReported in place: 3 (37.5%)Pre-deployment testing
Reported in progress: 2 (25.0%)Pre-deployment testing
No answer reported: 3 (37.5%)
Reported in place: 2 (25.0%)AI impact assessment
Reported in progress: 3 (37.5%)AI impact assessment
No answer reported: 3 (37.5%)
Reported in place: 2 (25.0%)Independent review
Reported in progress: 3 (37.5%)Independent review
No answer reported: 3 (37.5%)
Reported in place: 2 (25.0%)Ongoing monitoring
Reported in progress: 3 (37.5%)Ongoing monitoring
No answer reported: 3 (37.5%)
Reported in place: 3 (37.5%)Operator training
Reported in progress: 2 (25.0%)Operator training
No answer reported: 3 (37.5%)
Reported in place: 3 (37.5%)Fail-safe
Reported in progress: 2 (25.0%)Fail-safe
No answer reported: 3 (37.5%)
| 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 | 8 | 3 | 2 | 0 | 0 | 0 | 0 | 3 | 63% | 38% of 8 |
| AI impact assessment | 8 | 2 | 3 | 0 | 0 | 0 | 0 | 3 | 63% | 25% of 8 |
| Independent review | 8 | 2 | 3 | 0 | 0 | 0 | 0 | 3 | 63% | 25% of 8 |
| Ongoing monitoring | 8 | 2 | 3 | 0 | 0 | 0 | 0 | 3 | 63% | 25% of 8 |
| Operator training | 8 | 3 | 2 | 0 | 0 | 0 | 0 | 3 | 63% | 38% of 8 |
| Fail-safe | 8 | 3 | 2 | 0 | 0 | 0 | 0 | 3 | 63% | 38% of 8 |
| Appeal process | 8 | 0 | 2 | 0 | 3 | 0 | 0 | 3 | 63% | 0% of 5 |
| User and public consultation | 8 | 3 | 2 | 0 | 0 | 0 | 0 | 3 | 63% | 38% of 8 |
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 | |
|---|---|---|---|---|---|---|---|---|---|
| DOE | – | – | – | – | – | – | – | – | 3 |
| SSA | 100% | 100% | 100% | 50% | 100% | 100% | 0% | 100% | 2 |
| DOJ | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 1 |
| DHS | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 1 |
| STATE | 100% | 0% | 0% | 100% | 100% | 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
7 records with at least one practice unanswered or in progressOpen in explorer| Use case | Stage | Test | AIA | Review | Monitor | Train | Fail-safe | Appeal | Consult |
|---|---|---|---|---|---|---|---|---|---|
| AI-Assisted Resume Screening Tool DHS · DHS-2556 | 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 |
| Data & Analytics: Healthcare Fraud Detection DOJ · DOJ-0071 | 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 |
| Electronic Health Record AI Enhancements STATE · R3248 | Deployed | Reported in place | Reported in progress | Reported in progress | Reported in place | Reported in place | Reported in place | Not applicable | Reported in place |
| Custom GenAI for eVinci Microreactor Engineering (MauroGPT) DOE · DOE-534 | 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 |
| Custom GenAI for Advanced Reactor Development (LotusAI) DOE · DOE-591 | 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 |
| Custom GenAI for Advanced Reactor Development (RickoverAI) DOE · DOE-609 | 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 |
| Policy Assistance Tool (PAT) SSA · R3116 | Pilot | Reported in place | Reported in place | Reported in place | Reported in progress | Reported in place | Reported in place | Not applicable | Reported in place |
Unanswered analytical questions
Generated from the data; for follow-up with agencies- DOE 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 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 mark an appeal process as not applicable. On what basis was each individual outcome judged not contestable?
- 1 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.