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: 25 records · all use cases in the current filterReported in placeReported in progressNot applicableOther or ambiguous answerNo answer reported
Pre-deployment testing
Pre-deployment testing
Reported in place: 24 (96.0%)Pre-deployment testing
No answer reported: 1 (4.0%)
25Reported in place: 24 (96.0%)Pre-deployment testing
No answer reported: 1 (4.0%)
AI impact assessment
AI impact assessment
Reported in place: 17 (68.0%)AI impact assessment
Reported in progress: 5 (20.0%)AI impact assessment
No answer reported: 3 (12.0%)
25Reported in place: 17 (68.0%)AI impact assessment
Reported in progress: 5 (20.0%)AI impact assessment
No answer reported: 3 (12.0%)
Independent review25
| 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 | 25 | 24 | 0 | 0 | 0 | 0 | 0 | 1 | 96% | 96% of 25 |
| AI impact assessment | 25 | 17 | 5 | 0 | 0 | 0 | 0 | 3 | 88% | 68% of 25 |
| Independent review | 25 | 23 | 2 | 0 | 0 | 0 | 0 | 0 | 100% | 92% of 25 |
| Ongoing monitoring | 25 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 100% | 100% of 25 |
| Operator training | 25 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 100% | 100% of 25 |
| Fail-safe | 25 | 10 | 0 | 0 | 15 | 0 | 0 | 0 | 100% | 100% of 10 |
| Appeal process | 25 | 3 | 1 | 0 | 21 | 0 | 0 | 0 | 100% | 75% of 4 |
| User and public consultation | 25 | 17 | 0 | 0 | 0 | 0 | 7 | 1 | 96% | 68% of 25 |
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 | |
|---|---|---|---|---|---|---|---|---|---|
| SBA | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 64% | 14 |
| DOE | 100% | 14% | 86% | 100% | 100% | 100% | 100% | 71% | 7 |
| FERC | 100% | 100% | 100% | 100% | 100% | 100% | 0% | 100% | 1 |
| DOI | – | – | 100% | 100% | 100% | 0% | 0% | – | 1 |
| SSA | 100% | 100% | 100% | 100% | 100% | 100% | 0% | 100% | 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
8 records with at least one practice unanswered or in progressOpen in explorer| Use case | Stage | Test | AIA | Review | Monitor | Train | Fail-safe | Appeal | Consult |
|---|---|---|---|---|---|---|---|---|---|
| ServiceNow Predictive Intelligence DOE · DOE-430 | Deployed | Reported in place | Reported in progress | Reported in place | Reported in place | Reported in place | Not applicable | Not applicable | Reported in place |
| Hanford Ai Liaison (HAL) 1.1 DOE · DOE-469 | Deployed | Reported in place | No answer reported | Reported in place | Reported in place | Reported in place | Not applicable | Not applicable | Reported in place |
| LANL AI Portal DOE · DOE-495 | Deployed | Reported in place | Reported in progress | Reported in place | Reported in place | Reported in place | Not applicable | Not applicable | Reported in place |
| ChatGPT Enterprise DOE · DOE-498 | Deployed | Reported in place | Reported in progress | Reported in place | Reported in place | Reported in place | Not applicable | Not applicable | Reported in place |
| 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 |
| M365 Copilot DOE · DOE-574 | Pilot | Reported in place | Reported in progress | Reported in progress | Reported in place | Reported in place | Reported in place | Not applicable | Other or ambiguous answer |
| Hanford Ai Liaison (HAL) 2.0 DOE · DOE-653 | Pre-deployment | Reported in place | No answer reported | Reported in place | Reported in place | Reported in place | Not applicable | Not applicable | Reported in place |
| Foundation Models to Advance Earth Science [2024 INV#WO0000000107153] DOI · DOI-0172 | 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- 1 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?
- 2 high-impact use cases mark an appeal process as not applicable. On what basis was each individual outcome judged not contestable?
- 14 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.